/10. Statistics - Descriptive Statistics/
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10.1 2.5.The-Histogram-exercise.xlsx.xlsx
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15.9 KB
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10.2 2.5.The-Histogram-exercise-solution.xlsx.xlsx
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17.5 KB
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10. Histogram Exercise.html
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0.1 KB
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11.1 2.6. Cross table and scatter plot.xlsx.xlsx
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26.7 KB
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1.1 Course notes_descriptive_statistics.pdf.pdf
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493.8 KB
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11. Cross Table and Scatter Plot.mp4
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41.7 MB
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11. Cross Table and Scatter Plot.srt
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6.8 KB
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11. Cross Table and Scatter Plot.vtt
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6.0 KB
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12.1 2.6. Cross table and scatter plot_exercise_solution.xlsx.xlsx
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41.4 KB
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12.2 2.6. Cross table and scatter plot_exercise.xlsx.xlsx
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16.7 KB
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12. Cross Tables and Scatter Plots Exercise.html
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0.1 KB
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13.1 2.7. Mean, median and mode_lesson.xlsx.xlsx
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10.7 KB
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13. Mean, median and mode.mp4
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38.9 MB
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13. Mean, median and mode.srt
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5.9 KB
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13. Mean, median and mode.vtt
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5.1 KB
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14.1 2.7. Mean, median and mode_exercise_solution.xlsx.xlsx
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11.6 KB
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14.2 2.7. Mean, median and mode_exercise.xlsx.xlsx
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11.1 KB
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14. Mean, Median and Mode Exercise.html
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0.1 KB
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15.1 2.8. Skewness_lesson.xlsx.xlsx
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35.5 KB
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15. Skewness.mp4
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20.3 MB
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15. Skewness.srt
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3.7 KB
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15. Skewness.vtt
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3.3 KB
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16.1 2.8. Skewness_exercise.xlsx.xlsx
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9.7 KB
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16.2 2.8. Skewness_exercise_solution.xlsx.xlsx
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20.3 KB
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16. Skewness Exercise.html
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0.1 KB
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17.1 2.9. Variance_lesson.xlsx.xlsx
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10.3 KB
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17. Variance.mp4
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53.4 MB
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17. Variance.srt
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7.7 KB
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17. Variance.vtt
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6.8 KB
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18.1 2.9. Variance_exercise.xlsx.xlsx
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11.1 KB
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18.2 2.9. Variance_exercise_solution.xlsx.xlsx
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11.3 KB
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18. Variance Exercise.html
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0.5 KB
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19.1 2.10. Standard deviation and coefficient of variation_lesson.xlsx.xlsx
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11.2 KB
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19. Standard Deviation and Coefficient of Variation.mp4
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47.3 MB
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19. Standard Deviation and Coefficient of Variation.srt
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6.8 KB
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19. Standard Deviation and Coefficient of Variation.vtt
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5.9 KB
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1. Types of Data.mp4
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76.0 MB
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1. Types of Data.srt
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6.1 KB
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1. Types of Data.vtt
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5.4 KB
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20.1 2.10. Standard deviation and coefficient of variation_exercise_solution.xlsx.xlsx
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12.7 KB
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20.2 2.10. Standard deviation and coefficient of variation_exercise.xlsx.xlsx
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11.6 KB
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20. Standard Deviation and Coefficient of Variation Exercise.html
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0.1 KB
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21.1 2.11. Covariance_lesson.xlsx.xlsx
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25.5 KB
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21. Covariance.mp4
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28.8 MB
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21. Covariance.srt
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5.0 KB
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21. Covariance.vtt
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4.4 KB
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22.1 2.11. Covariance_exercise.xlsx.xlsx
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20.7 KB
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22.2 2.11. Covariance_exercise_solution.xlsx.xlsx
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30.2 KB
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22. Covariance Exercise.html
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0.1 KB
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23. Correlation Coefficient.mp4
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31.0 MB
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23. Correlation Coefficient.srt
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4.8 KB
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23. Correlation Coefficient.vtt
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4.2 KB
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24.1 2.12. Correlation_exercise.xlsx.xlsx
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30.0 KB
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24.2 2.12. Correlation_exercise_solution.xlsx.xlsx
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30.2 KB
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24. Correlation Coefficient Exercise.html
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0.1 KB
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2. Types of Data.html
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0.2 KB
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3. Levels of Measurement.mp4
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57.0 MB
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3. Levels of Measurement.srt
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4.7 KB
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3. Levels of Measurement.vtt
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4.1 KB
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4. Levels of Measurement.html
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0.2 KB
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5.1 2.3.Categorical-variables.Visualization-techniques-lesson.xlsx.xlsx
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31.5 KB
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5. Categorical Variables - Visualization Techniques.mp4
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40.3 MB
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5. Categorical Variables - Visualization Techniques.srt
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6.6 KB
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5. Categorical Variables - Visualization Techniques.vtt
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5.8 KB
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6.1 2.3. Categorical variables. Visualization techniques_exercise_solution.xlsx.xlsx
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42.1 KB
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6.2 2.3. Categorical variables. Visualization techniques_exercise.xlsx.xlsx
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15.6 KB
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6. Categorical Variables Exercise.html
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0.1 KB
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7.1 2.4. Numerical variables. Frequency distribution table_lesson.xlsx.xlsx
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11.6 KB
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7. Numerical Variables - Frequency Distribution Table.mp4
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27.2 MB
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7. Numerical Variables - Frequency Distribution Table.srt
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4.5 KB
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7. Numerical Variables - Frequency Distribution Table.vtt
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3.9 KB
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8.1 2.4. Numerical variables. Frequency distribution table_exercise_solution.xlsx.xlsx
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13.5 KB
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8.2 2.4. Numerical variables. Frequency distribution table_exercise.xlsx.xlsx
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12.0 KB
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8. Numerical Variables Exercise.html
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0.1 KB
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9.1 2.5. The Histogram_lesson.xlsx.xlsx
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19.1 KB
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9. The Histogram.mp4
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14.4 MB
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9. The Histogram.srt
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3.1 KB
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9. The Histogram.vtt
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2.7 KB
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/11. Statistics - Practical Example Descriptive Statistics/
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1.1 2.13. Practical example. Descriptive statistics_lesson.xlsx.xlsx
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150.0 KB
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1. Practical Example Descriptive Statistics.mp4
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167.2 MB
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1. Practical Example Descriptive Statistics.srt
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21.1 KB
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1. Practical Example Descriptive Statistics.vtt
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18.3 KB
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2.1 2.13. Practical-example.Descriptive-statistics-exercise-solution.xlsx.xlsx
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149.7 KB
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2.2 2.13.Practical-example.Descriptive-statistics-exercise.xlsx.xlsx
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123.1 KB
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2. Practical Example Descriptive Statistics Exercise.html
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0.1 KB
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/12. Statistics - Inferential Statistics Fundamentals/
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10. Standard error.mp4
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23.9 MB
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10. Standard error.srt
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2.1 KB
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10. Standard error.vtt
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1.8 KB
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1.1 Course notes_inferential statistics.pdf.pdf
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391.5 KB
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11. Estimators and Estimates.mp4
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50.1 MB
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11. Estimators and Estimates.srt
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3.8 KB
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11. Estimators and Estimates.vtt
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3.4 KB
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12. Estimators and Estimates.html
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0.2 KB
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1. Introduction.mp4
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16.3 MB
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1. Introduction.srt
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1.7 KB
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1. Introduction.vtt
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1.5 KB
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2.1 Course notes_inferential statistics.pdf.pdf
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391.5 KB
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2.2 3.2. What is a distribution_lesson.xlsx.xlsx
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19.9 KB
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2. What is a Distribution.mp4
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64.6 MB
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2. What is a Distribution.srt
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6.0 KB
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2. What is a Distribution.vtt
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5.2 KB
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3. What is a Distribution.html
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0.2 KB
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4. The Normal Distribution.mp4
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52.3 MB
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4. The Normal Distribution.srt
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5.0 KB
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4. The Normal Distribution.vtt
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4.4 KB
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5. The Normal Distribution.html
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0.2 KB
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6.1 3.4. Standard normal distribution_lesson.xlsx.xlsx
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10.6 KB
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6. The Standard Normal Distribution.mp4
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23.6 MB
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6. The Standard Normal Distribution.srt
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4.0 KB
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6. The Standard Normal Distribution.vtt
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3.5 KB
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7.1 3.4. Standard normal distribution_exercise.xlsx.xlsx
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12.1 KB
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7.2 3.4. Standard normal distribution_exercise_solution.xlsx.xlsx
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24.3 KB
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7. The Standard Normal Distribution Exercise.html
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0.1 KB
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8. Central Limit Theorem.mp4
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65.9 MB
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8. Central Limit Theorem.srt
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5.8 KB
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8. Central Limit Theorem.vtt
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5.1 KB
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9. Central Limit Theorem.html
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0.2 KB
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/13. Statistics - Inferential Statistics Confidence Intervals/
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10. Margin of Error.html
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0.2 KB
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11.1 3.13. Confidence intervals. Two means. Dependent samples_lesson.xlsx.xlsx
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10.7 KB
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11. Confidence intervals. Two means. Dependent samples.mp4
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73.9 MB
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11. Confidence intervals. Two means. Dependent samples.srt
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8.2 KB
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11. Confidence intervals. Two means. Dependent samples.vtt
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7.3 KB
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12.1 3.13. Confidence intervals. Two means. Dependent samples_exercise_solution.xlsx.xlsx
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14.6 KB
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12.2 3.13. Confidence intervals. Two means. Dependent samples_exercise.xlsx.xlsx
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14.1 KB
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12. Confidence intervals. Two means. Dependent samples Exercise.html
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0.1 KB
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13.1 3.14. Confidence intervals. Two means. Independent samples (Part 1)_lesson.xlsx.xlsx
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10.1 KB
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13. Confidence intervals. Two means. Independent samples (Part 1).mp4
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30.2 MB
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13. Confidence intervals. Two means. Independent samples (Part 1).srt
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6.2 KB
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13. Confidence intervals. Two means. Independent samples (Part 1).vtt
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5.5 KB
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14.1 3.14. Confidence intervals. Two means. Independent samples (Part 1)_exercise_solution.xlsx.xlsx
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10.4 KB
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14.2 3.14. Confidence intervals. Two means. Independent samples (Part 1)_exercise.xlsx.xlsx
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10.1 KB
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14. Confidence intervals. Two means. Independent samples (Part 1) Exercise.html
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0.1 KB
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15.1 3.15. Confidence intervals. Two means. Independent samples (Part 2)_lesson.xlsx.xlsx
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9.7 KB
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15. Confidence intervals. Two means. Independent samples (Part 2).mp4
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28.1 MB
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15. Confidence intervals. Two means. Independent samples (Part 2).srt
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4.6 KB
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15. Confidence intervals. Two means. Independent samples (Part 2).vtt
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4.1 KB
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16.1 3.15. Confidence intervals. Two means. Independent samples (Part 2)_exercise_solution.xlsx.xlsx
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10.0 KB
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16.2 3.15. Confidence intervals. Two means. Independent samples (Part 2)_exercise.xlsx.xlsx
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9.4 KB
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16. Confidence intervals. Two means. Independent samples (Part 2) Exercise.html
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0.1 KB
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17. Confidence intervals. Two means. Independent samples (Part 3).mp4
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20.9 MB
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17. Confidence intervals. Two means. Independent samples (Part 3).srt
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2.0 KB
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17. Confidence intervals. Two means. Independent samples (Part 3).vtt
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1.8 KB
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1. What are Confidence Intervals.mp4
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52.4 MB
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1. What are Confidence Intervals.srt
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3.3 KB
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1. What are Confidence Intervals.vtt
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2.9 KB
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2. What are Confidence Intervals.html
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0.2 KB
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3.1 3.9. Population variance known, z-score_lesson.xlsx.xlsx
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11.5 KB
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3.2 3.9. The z-table.xlsx.xlsx
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18.9 KB
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3. Confidence Intervals; Population Variance Known; z-score.mp4
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82.0 MB
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3. Confidence Intervals; Population Variance Known; z-score.srt
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10.0 KB
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3. Confidence Intervals; Population Variance Known; z-score.vtt
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8.9 KB
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4.1 3.9. Population variance known, z-score_exercise.xlsx.xlsx
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11.1 KB
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4.2 3.9. The z-table.xlsx.xlsx
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18.9 KB
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4.3 3.9. Population variance known, z-score_exercise_solution.xlsx.xlsx
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11.4 KB
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4. Confidence Intervals; Population Variance Known; z-score; Exercise.html
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0.1 KB
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5. Student's T Distribution.mp4
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37.2 MB
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5. Student's T Distribution.srt
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4.2 KB
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5. Student's T Distribution.vtt
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3.8 KB
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6. Student's T Distribution.html
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0.2 KB
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7.1 3.11. Population variance unknown, t-score_lesson.xlsx.xlsx
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11.0 KB
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7.2 3.11. The t-table.xlsx.xlsx
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16.2 KB
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7. Confidence Intervals; Population Variance Unknown; t-score.mp4
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33.8 MB
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7. Confidence Intervals; Population Variance Unknown; t-score.srt
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5.8 KB
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7. Confidence Intervals; Population Variance Unknown; t-score.vtt
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5.1 KB
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8.1 3.11. Population variance unknown, t-score_exercise.xlsx.xlsx
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10.9 KB
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8.2 3.11. Population variance unknown, t-score_exercise_solution.xlsx.xlsx
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11.4 KB
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8. Confidence Intervals; Population Variance Unknown; t-score; Exercise.html
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0.1 KB
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9. Margin of Error.mp4
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62.0 MB
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9. Margin of Error.srt
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6.4 KB
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9. Margin of Error.vtt
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5.6 KB
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/14. Statistics - Practical Example Inferential Statistics/
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1.1 3.17. Practical example. Confidence intervals_lesson.xlsx.xlsx
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1.8 MB
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1. Practical Example Inferential Statistics.mp4
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107.7 MB
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1. Practical Example Inferential Statistics.srt
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14.0 KB
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1. Practical Example Inferential Statistics.vtt
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12.2 KB
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2.1 3.17. Practical example. Confidence intervals_exercise.xlsx.xlsx
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1.8 MB
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2.2 3.17.Practical-example.Confidence-intervals-exercise-solution.xlsx.xlsx
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1.8 MB
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2. Practical Example Inferential Statistics Exercise.html
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0.1 KB
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/15. Statistics - Hypothesis Testing/
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10.1 Online p-value calculator.pdf.pdf
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1.3 MB
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10. p-value.mp4
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58.6 MB
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10. p-value.srt
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5.2 KB
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10. p-value.vtt
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4.6 KB
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1.1 Course notes_hypothesis_testing.pdf.pdf
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664.2 KB
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11. p-value.html
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0.2 KB
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12.1 4.6.Test-for-the-mean.Population-variance-unknown-lesson.xlsx.xlsx
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14.9 KB
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12. Test for the Mean. Population Variance Unknown.mp4
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42.2 MB
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12. Test for the Mean. Population Variance Unknown.srt
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6.0 KB
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12. Test for the Mean. Population Variance Unknown.vtt
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5.3 KB
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13.1 4.6.Test-for-the-mean.Population-variance-unknown-exercise-solution.xlsx.xlsx
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12.1 KB
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13.2 4.6.Test-for-the-mean.Population-variance-unknown-exercise.xlsx.xlsx
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11.6 KB
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13. Test for the Mean. Population Variance Unknown Exercise.html
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0.1 KB
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14.1 4.7. Test for the mean. Dependent samples_lesson.xlsx.xlsx
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10.0 KB
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14. Test for the Mean. Dependent Samples.mp4
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52.8 MB
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14. Test for the Mean. Dependent Samples.srt
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6.9 KB
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14. Test for the Mean. Dependent Samples.vtt
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6.0 KB
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15.1 4.7. Test for the mean. Dependent samples_exercise.xlsx.xlsx
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13.1 KB
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15.2 4.7. Test for the mean. Dependent samples_exercise_solution.xlsx.xlsx
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14.7 KB
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15. Test for the Mean. Dependent Samples Exercise.html
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0.1 KB
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16.1 4.8. Test for the mean. Independent samples (Part 1)_lesson.xlsx.xlsx
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9.9 KB
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16. Test for the mean. Independent samples (Part 1).mp4
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31.4 MB
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16. Test for the mean. Independent samples (Part 1).srt
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5.6 KB
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16. Test for the mean. Independent samples (Part 1).vtt
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4.9 KB
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17.1 4.9. Test for the mean. Independent samples (Part 2)_lesson.xlsx.xlsx
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9.5 KB
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17. Test for the mean. Independent samples (Part 2).mp4
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38.1 MB
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17. Test for the mean. Independent samples (Part 2).srt
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5.6 KB
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17. Test for the mean. Independent samples (Part 2).vtt
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4.8 KB
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18.1 4.9. Test for the mean. Independent samples (Part 2)_exercise.xlsx.xlsx
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9.7 KB
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18.2 4.9. Test for the mean. Independent samples (Part 2)_exercise_solution.xlsx.xlsx
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10.5 KB
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18. Test for the mean. Independent samples (Part 2) Exercise.html
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0.1 KB
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1. The Null vs Alternative Hypothesis.mp4
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96.6 MB
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1. The Null vs Alternative Hypothesis.srt
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7.5 KB
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1. The Null vs Alternative Hypothesis.vtt
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6.6 KB
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2. Further Reading on Null and Alternative Hypothesis.html
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2.2 KB
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3. The Null vs Alternative Hypothesis.html
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0.2 KB
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4.1 Course notes_hypothesis_testing.pdf.pdf
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674.4 KB
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4. Rejection Region and Significance Level.mp4
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118.7 MB
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4. Rejection Region and Significance Level.srt
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9.2 KB
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4. Rejection Region and Significance Level.vtt
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8.0 KB
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5. Rejection Region and Significance Level.html
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0.2 KB
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6. Type I Error and Type II Error.mp4
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46.1 MB
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6. Type I Error and Type II Error.srt
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5.8 KB
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6. Type I Error and Type II Error.vtt
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5.0 KB
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7. Type I Error and Type II Error.html
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0.2 KB
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8.1 4.4. Test for the mean. Population variance known_lesson.xlsx.xlsx
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11.2 KB
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8. Test for the Mean. Population Variance Known.mp4
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56.9 MB
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8. Test for the Mean. Population Variance Known.srt
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8.3 KB
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8. Test for the Mean. Population Variance Known.vtt
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7.3 KB
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9.1 4.4. Test for the mean. Population variance known_exercise.xlsx.xlsx
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11.3 KB
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9.2 4.4. Test for the mean. Population variance known_exercise_solution.xlsx.xlsx
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11.5 KB
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9. Test for the Mean. Population Variance Known Exercise.html
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0.1 KB
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/16. Statistics - Practical Example Hypothesis Testing/
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1.1 4.10.Hypothesis-testing-section-practical-example.xlsx.xlsx
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53.0 KB
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1. Practical Example Hypothesis Testing.mp4
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72.9 MB
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1. Practical Example Hypothesis Testing.srt
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8.7 KB
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1. Practical Example Hypothesis Testing.vtt
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7.6 KB
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2.1 4.10. Hypothesis testing section_practical example_exercise.xlsx.xlsx
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44.4 KB
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2.2 4.10.Hypothesis-testing-section-practical-example-exercise-solution.xlsx.xlsx
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45.1 KB
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2. Practical Example Hypothesis Testing Exercise.html
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0.1 KB
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/17. Part 3 Introduction to Python/
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10. Jupyter's Interface.html
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0.2 KB
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1. Introduction to Programming.mp4
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61.4 MB
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1. Introduction to Programming.srt
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7.1 KB
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1. Introduction to Programming.vtt
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6.2 KB
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2. Introduction to Programming.html
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0.2 KB
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3. Why Python.mp4
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78.7 MB
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3. Why Python.srt
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7.1 KB
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3. Why Python.vtt
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6.3 KB
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4. Why Python.html
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0.2 KB
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5. Why Jupyter.mp4
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46.5 MB
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5. Why Jupyter.srt
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4.8 KB
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5. Why Jupyter.vtt
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4.2 KB
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6. Why Jupyter.html
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0.2 KB
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7. Installing Python and Jupyter.mp4
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57.1 MB
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7. Installing Python and Jupyter.srt
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7.3 KB
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7. Installing Python and Jupyter.vtt
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6.4 KB
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8. Understanding Jupyter's Interface - the Notebook Dashboard.mp4
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14.5 MB
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8. Understanding Jupyter's Interface - the Notebook Dashboard.srt
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3.8 KB
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8. Understanding Jupyter's Interface - the Notebook Dashboard.vtt
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3.3 KB
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9. Prerequisites for Coding in the Jupyter Notebooks.mp4
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32.1 MB
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9. Prerequisites for Coding in the Jupyter Notebooks.srt
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8.0 KB
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9. Prerequisites for Coding in the Jupyter Notebooks.vtt
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7.0 KB
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/18. Python - Variables and Data Types/
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1.1 Variables - Resources.html
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0.1 KB
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1. Variables.mp4
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27.9 MB
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1. Variables.srt
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6.3 KB
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1. Variables.vtt
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5.5 KB
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2. Variables.html
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0.2 KB
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3.1 Numbers and Boolean Values - Resources.html
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0.1 KB
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3. Numbers and Boolean Values in Python.mp4
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17.9 MB
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3. Numbers and Boolean Values in Python.srt
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3.8 KB
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3. Numbers and Boolean Values in Python.vtt
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3.2 KB
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4. Numbers and Boolean Values in Python.html
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0.2 KB
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5.1 Strings - Resources.html
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0.1 KB
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5. Python Strings.mp4
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32.3 MB
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5. Python Strings.srt
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7.6 KB
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5. Python Strings.vtt
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6.6 KB
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6. Python Strings.html
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0.2 KB
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/19. Python - Basic Python Syntax/
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10.1 Indexing Elements - Resources.html
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0.1 KB
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10. Indexing Elements.mp4
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6.2 MB
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10. Indexing Elements.srt
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1.7 KB
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10. Indexing Elements.vtt
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1.5 KB
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1.1 Arithmetic Operators - Resources.html
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0.1 KB
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11. Indexing Elements.html
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0.2 KB
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12.1 Structure Your Code with Indentation - Resources.html
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1. Using Arithmetic Operators in Python.mp4
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3. The Double Equality Sign.mp4
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/1. Part 1 Introduction/
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/20. Python - Other Python Operators/
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3.1 Logical and Identity Operators - Resources.html
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3. Logical and Identity Operators.mp4
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/21. Python - Conditional Statements/
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1.1 Introduction to the If Statement - Resources.html
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1. The IF Statement.mp4
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/22. Python - Python Functions/
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1.1 Defining a Function in Python - Resources.html
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3.1 Another Way to Define a Function - Resources.html
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3. Defining a Function in Python - Part II.mp4
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4.1 Using a Function in Another Function - Resources.html
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4. How to Use a Function within a Function.mp4
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/23. Python - Sequences/
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/24. Python - Iterations/
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8.1 Iterating over Dictionaries - Resources.html
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8. How to Iterate over Dictionaries.mp4
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/25. Python - Advanced Python Tools/
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1. Object Oriented Programming.mp4
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3. Modules and Packages.mp4
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5. What is the Standard Library.mp4
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/26. Part 4 Advanced Statistical Methods in Python/
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1. Introduction to Regression Analysis.mp4
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/27. Advanced Statistical Methods - Linear regression/
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10. How to Interpret the Regression Table.mp4
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46.8 MB
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11. Decomposition of Variability.mp4
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13. What is the OLS.mp4
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14. R-Squared.mp4
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1. The Linear Regression Model.mp4
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3. Correlation vs Regression.mp4
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3. Correlation vs Regression.srt
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5. Geometrical Representation of the Linear Regression Model.mp4
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6. Python Packages Installation.mp4
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7. First Regression in Python.mp4
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9. Using Seaborn for Graphs.mp4
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/28. Advanced Statistical Methods - Multiple Linear Regression/
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10. A2 No Endogeneity.mp4
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12. A3 Normality and Homoscedasticity.mp4
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44.8 MB
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15. A5 No Multicollinearity.mp4
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30.1 MB
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17.1 Dummies - Lecture.html
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17. Dealing with Categorical Data - Dummy Variables.mp4
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19.1 Making predictions - Lecture.html
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19. Making Predictions with the Linear Regression.mp4
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25.9 MB
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1. Multiple Linear Regression.mp4
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22.6 MB
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2.1 Multiple linear regression - Lecture.html
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2. Adjusted R-Squared.mp4
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57.5 MB
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4.1 Multiple Linear Regression Exercise.html
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5. Test for Significance of the Model (F-Test).mp4
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17.2 MB
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8. A1 Linearity.mp4
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/29. Advanced Statistical Methods - Logistic Regression/
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10. Underfitting and Overfitting.mp4
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1. Introduction to Logistic Regression.mp4
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28.4 MB
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2.1 Simple logistic regression example.html
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2. A Simple Example in Python.mp4
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3. Logistic vs Logit Function.mp4
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90.7 MB
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4.1 Building a logistic regression.html
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5. An Invaluable Coding Tip.mp4
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24.2 MB
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6. Understanding Logistic Regression Tables.mp4
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32.0 MB
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7. What do the Odds Actually Mean.mp4
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33.9 MB
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8.1 Binary predictors.html
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8. Binary Predictors in a Logistic Regression.mp4
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40.3 MB
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/2. The Field of Data Science - The Various Data Science Disciplines/
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10. A Breakdown of our Data Science Infographic.html
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1. Data Science and Business Buzzwords Why are there so many.mp4
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85.4 MB
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3. What is the difference between Analysis and Analytics.mp4
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56.2 MB
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5.1 365_DataScience_Diagram.pdf.pdf
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7.1 365_DataScience_Diagram.pdf.pdf
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114.3 MB
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9. A Breakdown of our Data Science Infographic.mp4
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71.0 MB
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/30. Advanced Statistical Methods - Cluster Analysis/
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1. Introduction to Cluster Analysis.mp4
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56.0 MB
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1. Introduction to Cluster Analysis.srt
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4.3 KB
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2. Some Examples of Clusters.mp4
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75.0 MB
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3. Difference between Classification and Clustering.mp4
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37.9 MB
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3. Difference between Classification and Clustering.srt
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3.4 KB
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4. Math Prerequisites.mp4
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15.3 MB
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/31. Advanced Statistical Methods - K-Means Clustering/
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10. How is Clustering Useful.mp4
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78.1 MB
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10. How is Clustering Useful.srt
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10. How is Clustering Useful.vtt
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/35. Deep Learning - Introduction to Neural Networks/
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/36. Deep Learning - How to Build a Neural Network from Scratch with NumPy/
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11.2 TensorFlow MNIST '1. Width' Solution.html
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0.2 KB
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11.3 TensorFlow MNIST '3. Width and Depth' Solution.html
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0.2 KB
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11.4 TensorFlow MNIST '2. Depth' Solution.html
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0.2 KB
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11.5 TensorFlow MNIST '8. Learning Rate (Part 1)' Solution.html
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0.2 KB
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11.6 TensorFlow MNIST '9. Learning Rate (Part 2)' Solution.html
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0.2 KB
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11.7 TensorFlow MNIST '7. Batch size (Part 2)' Solution.html
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0.2 KB
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11.8 TensorFlow MNIST '4. Activation Functions (Part 1)' Solution.html
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0.2 KB
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11.9 TensorFlow MNIST '6. Batch size (Part 1)' Solution.html
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0.2 KB
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11. MNIST Solutions.html
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2.2 KB
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1. MNIST What is the MNIST Dataset.mp4
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18.7 MB
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1. MNIST What is the MNIST Dataset.srt
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3.6 KB
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1. MNIST What is the MNIST Dataset.vtt
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3.1 KB
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2. MNIST How to Tackle the MNIST.mp4
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23.7 MB
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2. MNIST How to Tackle the MNIST.srt
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3.7 KB
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2. MNIST How to Tackle the MNIST.vtt
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3.2 KB
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3.1 TensorFlow MNIST Part 1 with Comments.html
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0.2 KB
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3. MNIST Relevant Packages.mp4
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19.8 MB
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3. MNIST Relevant Packages.srt
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2.2 KB
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3. MNIST Relevant Packages.vtt
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1.9 KB
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4.1 TensorFlow MNIST Part 2 with Comments.html
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0.2 KB
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4. MNIST Model Outline.mp4
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59.1 MB
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4. MNIST Model Outline.srt
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9.3 KB
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4. MNIST Model Outline.vtt
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8.1 KB
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5.1 TensorFlow MNIST Part 3 with Comments.html
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0.2 KB
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5. MNIST Loss and Optimization Algorithm.mp4
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27.1 MB
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5. MNIST Loss and Optimization Algorithm.srt
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3.6 KB
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5. MNIST Loss and Optimization Algorithm.vtt
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3.2 KB
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6.1 TensorFlow MNIST Part 4 with Comments.html
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0.2 KB
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6. Calculating the Accuracy of the Model.mp4
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46.0 MB
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6. Calculating the Accuracy of the Model.srt
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5.3 KB
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6. Calculating the Accuracy of the Model.vtt
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4.6 KB
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7.1 TensorFlow MNIST Part 5 with Comments.html
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0.2 KB
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7. MNIST Batching and Early Stopping.mp4
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13.5 MB
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7. MNIST Batching and Early Stopping.srt
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3.0 KB
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7. MNIST Batching and Early Stopping.vtt
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2.6 KB
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8.1 TensorFlow MNIST Part 6 with Comments.html
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0.2 KB
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8. MNIST Learning.mp4
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49.0 MB
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8. MNIST Learning.srt
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10.4 KB
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8. MNIST Learning.vtt
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9.1 KB
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9.1 TensorFlow MNIST Complete Code with Comments.html
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0.2 KB
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9. MNIST Results and Testing.mp4
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65.8 MB
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9. MNIST Results and Testing.srt
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8.4 KB
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9. MNIST Results and Testing.vtt
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/44. Deep Learning - Business Case Example/
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10. Business Case Testing the Model.mp4
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11.7 MB
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10. Business Case Testing the Model.srt
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2.8 KB
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10. Business Case Testing the Model.vtt
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2.4 KB
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11.1 TensorFlow Business Case Homework.html
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0.1 KB
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1.1 Audiobooks_data.csv.csv
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727.8 KB
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11. Business Case A Comment on the Homework.mp4
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38.1 MB
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11. Business Case A Comment on the Homework.srt
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5.4 KB
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11. Business Case A Comment on the Homework.vtt
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4.8 KB
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12.1 TensorFlow Business Case Homework.html
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0.1 KB
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12. Business Case Final Exercise.html
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0.4 KB
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1. Business Case Getting acquainted with the dataset.mp4
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91.9 MB
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1. Business Case Getting acquainted with the dataset.srt
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11.0 KB
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1. Business Case Getting acquainted with the dataset.vtt
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9.6 KB
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2. Business Case Outlining the Solution.mp4
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12.8 MB
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2. Business Case Outlining the Solution.srt
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2.6 KB
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2. Business Case Outlining the Solution.vtt
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2.2 KB
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3. The Importance of Working with a Balanced Dataset.mp4
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41.3 MB
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3. The Importance of Working with a Balanced Dataset.srt
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4.6 KB
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3. The Importance of Working with a Balanced Dataset.vtt
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4.0 KB
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4.1 Audiobooks Preprocessing.html
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0.1 KB
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4. Business Case Preprocessing.mp4
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108.4 MB
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4. Business Case Preprocessing.srt
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13.8 KB
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4. Business Case Preprocessing.vtt
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12.0 KB
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5.1 Preprocessing Exercise.html
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0.1 KB
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5. Business Case Preprocessing Exercise.html
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0.4 KB
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6.1 Creating a Data Provider (Class).html
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0.1 KB
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6. Creating a Data Provider.mp4
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80.1 MB
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6. Creating a Data Provider.srt
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7.9 KB
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6. Creating a Data Provider.vtt
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7.0 KB
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7.1 TensorFlow Business Case Model Outline.html
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0.1 KB
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7. Business Case Model Outline.mp4
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55.7 MB
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7. Business Case Model Outline.srt
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7.1 KB
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7. Business Case Model Outline.vtt
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6.2 KB
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8.1 TensorFlow Business Case Optimization.html
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0.1 KB
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8. Business Case Optimization.mp4
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43.5 MB
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8. Business Case Optimization.srt
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6.8 KB
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8. Business Case Optimization.vtt
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5.9 KB
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9.1 TensorFlow Business Case Interpretation.html
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0.1 KB
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9. Business Case Interpretation.mp4
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27.0 MB
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9. Business Case Interpretation.srt
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3.0 KB
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9. Business Case Interpretation.vtt
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2.7 KB
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/45. Deep Learning - Conclusion/
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1. Summary of What You Learned.mp4
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41.7 MB
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1. Summary of What You Learned.srt
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5.3 KB
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1. Summary of What You Learned.vtt
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4.7 KB
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2. What's Further out there in terms of Machine Learning.mp4
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21.1 MB
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2. What's Further out there in terms of Machine Learning.srt
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2.6 KB
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2. What's Further out there in terms of Machine Learning.vtt
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2.3 KB
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3. An overview of CNNs.mp4
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61.6 MB
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3. An overview of CNNs.srt
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6.6 KB
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3. An overview of CNNs.vtt
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5.8 KB
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4. DeepMind and Deep Learning.html
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1.1 KB
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5. An Overview of RNNs.mp4
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26.5 MB
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5. An Overview of RNNs.srt
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3.8 KB
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5. An Overview of RNNs.vtt
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3.4 KB
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6. An Overview of non-NN Approaches.mp4
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46.9 MB
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6. An Overview of non-NN Approaches.srt
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5.2 KB
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6. An Overview of non-NN Approaches.vtt
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4.7 KB
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/4. The Field of Data Science - The Benefits of Each Discipline/
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1. The Reason behind these Disciplines.mp4
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85.1 MB
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1. The Reason behind these Disciplines.srt
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6.7 KB
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1. The Reason behind these Disciplines.vtt
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5.8 KB
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2. The Reason behind these Disciplines.html
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0.2 KB
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/5. The Field of Data Science - Popular Data Science Techniques/
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10. Techniques for Working with Traditional Methods.mp4
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129.5 MB
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10. Techniques for Working with Traditional Methods.srt
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11.3 KB
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10. Techniques for Working with Traditional Methods.vtt
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9.9 KB
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11. Techniques for Working with Traditional Methods.html
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0.2 KB
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12. Real Life Examples of Traditional Methods.mp4
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44.9 MB
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12. Real Life Examples of Traditional Methods.srt
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3.7 KB
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12. Real Life Examples of Traditional Methods.vtt
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3.2 KB
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13. Machine Learning (ML) Techniques.mp4
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104.1 MB
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13. Machine Learning (ML) Techniques.srt
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8.9 KB
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13. Machine Learning (ML) Techniques.vtt
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7.9 KB
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14. Machine Learning (ML) Techniques.html
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0.2 KB
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15. Types of Machine Learning.mp4
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131.2 MB
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15. Types of Machine Learning.srt
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10.8 KB
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15. Types of Machine Learning.vtt
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9.5 KB
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16. Types of Machine Learning.html
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0.2 KB
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17. Real Life Examples of Machine Learning (ML).mp4
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38.6 MB
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17. Real Life Examples of Machine Learning (ML).srt
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3.0 KB
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17. Real Life Examples of Machine Learning (ML).vtt
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2.6 KB
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18. Real Life Examples of Machine Learning (ML).html
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0.2 KB
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1. Techniques for Working with Traditional Data.mp4
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145.0 MB
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1. Techniques for Working with Traditional Data.srt
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10.9 KB
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1. Techniques for Working with Traditional Data.vtt
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9.5 KB
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2. Techniques for Working with Traditional Data.html
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0.2 KB
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3. Real Life Examples of Traditional Data.mp4
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31.4 MB
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3. Real Life Examples of Traditional Data.srt
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2.3 KB
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3. Real Life Examples of Traditional Data.vtt
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2.0 KB
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4. Techniques for Working with Big Data.mp4
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79.2 MB
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4. Techniques for Working with Big Data.srt
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5.8 KB
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4. Techniques for Working with Big Data.vtt
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5.1 KB
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5. Techniques for Working with Big Data.html
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0.2 KB
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6. Real Life Examples of Big Data.mp4
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23.1 MB
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6. Real Life Examples of Big Data.srt
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1.9 KB
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6. Real Life Examples of Big Data.vtt
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1.7 KB
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7. Business Intelligence (BI) Techniques.mp4
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94.3 MB
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7. Business Intelligence (BI) Techniques.srt
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8.8 KB
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7. Business Intelligence (BI) Techniques.vtt
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7.7 KB
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8. Business Intelligence (BI) Techniques.html
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0.2 KB
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9. Real Life Examples of Business Intelligence (BI).mp4
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31.0 MB
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9. Real Life Examples of Business Intelligence (BI).srt
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2.2 KB
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9. Real Life Examples of Business Intelligence (BI).vtt
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1.9 KB
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/6. The Field of Data Science - Popular Data Science Tools/
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1. Necessary Programming Languages and Software Used in Data Science.mp4
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108.6 MB
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1. Necessary Programming Languages and Software Used in Data Science.srt
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7.5 KB
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1. Necessary Programming Languages and Software Used in Data Science.vtt
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6.6 KB
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2. Necessary Programming Languages and Software Used in Data Science.html
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0.2 KB
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/7. The Field of Data Science - Careers in Data Science/
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1. Finding the Job - What to Expect and What to Look for.mp4
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57.0 MB
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1. Finding the Job - What to Expect and What to Look for.srt
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4.6 KB
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1. Finding the Job - What to Expect and What to Look for.vtt
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4.0 KB
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2. Finding the Job - What to Expect and What to Look for.html
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0.2 KB
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/8. The Field of Data Science - Debunking Common Misconceptions/
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1. Debunking Common Misconceptions.mp4
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76.4 MB
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1. Debunking Common Misconceptions.srt
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5.4 KB
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1. Debunking Common Misconceptions.vtt
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4.8 KB
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2. Debunking Common Misconceptions.html
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0.2 KB
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/9. Part 2 Statistics/
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1.1 Glossary.xlsx.xlsx
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20.4 KB
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1.2 Course notes_descriptive_statistics.pdf.pdf
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493.8 KB
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1. Population and Sample.mp4
|
60.9 MB
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1. Population and Sample.srt
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5.6 KB
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1. Population and Sample.vtt
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4.9 KB
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2. Population and Sample.html
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0.2 KB
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Total files 1069
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