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Download Machine Learning Data Science and Deep Learning with Python

Machine Learning Data Science and Deep Learning with Python

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Machine Learning Data Science and Deep Learning with Python

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8.0 GB

Total Files

205

Last Seen

2024-11-09 23:26

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AAFEE8DA06D072E5FC95F950F3CFFF76ABC2E37A

/.../8. Apache Spark Machine Learning on Big Data/

7. [Activity] Decision Trees in Spark.mp4

202.6 MB

1. Warning about Java 10!.html

0.4 KB

2. [Activity] Installing Spark - Part 1.mp4

91.6 MB

2. [Activity] Installing Spark - Part 1.vtt

15.4 KB

2.1 winutils.exe.html

0.1 KB

3. [Activity] Installing Spark - Part 2.mp4

180.7 MB

3. [Activity] Installing Spark - Part 2.vtt

26.2 KB

3.1 winutils.exe.html

0.1 KB

4. Spark Introduction.mp4

94.2 MB

4. Spark Introduction.vtt

19.6 KB

5. Spark and the Resilient Distributed Dataset (RDD).mp4

103.3 MB

5. Spark and the Resilient Distributed Dataset (RDD).vtt

22.7 KB

6. Introducing MLLib.mp4

57.4 MB

6. Introducing MLLib.vtt

10.7 KB

7. [Activity] Decision Trees in Spark.mp4.jpg

121.1 KB

7. [Activity] Decision Trees in Spark.txt

0.2 KB

7. [Activity] Decision Trees in Spark.vtt

30.1 KB

8. [Activity] K-Means Clustering in Spark.mp4

140.3 MB

8. [Activity] K-Means Clustering in Spark.vtt

20.7 KB

9. TF IDF.mp4

72.2 MB

9. TF IDF.vtt

13.0 KB

10. [Activity] Searching Wikipedia with Spark.mp4

116.9 MB

10. [Activity] Searching Wikipedia with Spark.vtt

14.3 KB

11. [Activity] Using the Spark 2.0 DataFrame API for MLLib.mp4

119.3 MB

11. [Activity] Using the Spark 2.0 DataFrame API for MLLib.vtt

16.2 KB

/

Visit Coursedrive.net.url

0.1 KB

Course Downloaded from coursedrive.net.txt

0.4 KB

/Machine Learning, Data Science and Deep Learning with Python/

ReadMe.txt

0.4 KB

Visit Coursedrive.net.url

0.1 KB

/1. Getting Started/

1. Introduction.mp4

62.5 MB

1. Introduction.vtt

4.3 KB

2. Udemy 101 Getting the Most From This Course.mp4

20.7 MB

2. Udemy 101 Getting the Most From This Course.vtt

3.6 KB

3. [Activity] Getting What You Need.mp4

29.4 MB

3. [Activity] Getting What You Need.vtt

4.3 KB

3.1 Course Facebook Group.html

0.1 KB

3.2 Course materials and setup steps.html

0.1 KB

4. [Activity] Installing Enthought Canopy.mp4

114.3 MB

4. [Activity] Installing Enthought Canopy.vtt

12.7 KB

4.1 Enthought Canopy website.html

0.1 KB

5. Python Basics, Part 1 [Optional].mp4

140.3 MB

5. Python Basics, Part 1 [Optional].vtt

32.9 KB

6. [Activity] Python Basics, Part 2 [Optional].mp4

80.9 MB

6. [Activity] Python Basics, Part 2 [Optional].vtt

19.4 KB

7. Running Python Scripts [Optional].mp4

46.9 MB

7. Running Python Scripts [Optional].vtt

8.4 KB

8. Introducing the Pandas Library [Optional].mp4

134.1 MB

8. Introducing the Pandas Library [Optional].vtt

16.1 KB

Visit DazX Blog on SAnet.ST for more.url

0.1 KB

/.../2. Statistics and Probability Refresher, and Python Practise/

1. Types of Data.mp4

81.0 MB

1. Types of Data.vtt

15.0 KB

2. Mean, Median, Mode.mp4

58.9 MB

2. Mean, Median, Mode.vtt

12.0 KB

3. [Activity] Using mean, median, and mode in Python.mp4

97.2 MB

3. [Activity] Using mean, median, and mode in Python.vtt

16.9 KB

4. [Activity] Variation and Standard Deviation.mp4

116.2 MB

4. [Activity] Variation and Standard Deviation.vtt

23.8 KB

5. Probability Density Function; Probability Mass Function.mp4

31.5 MB

5. Probability Density Function; Probability Mass Function.vtt

7.1 KB

6. Common Data Distributions.mp4

79.0 MB

6. Common Data Distributions.vtt

14.9 KB

7. [Activity] Percentiles and Moments.mp4

119.6 MB

7. [Activity] Percentiles and Moments.vtt

26.1 KB

8. [Activity] A Crash Course in matplotlib.mp4

135.6 MB

8. [Activity] A Crash Course in matplotlib.vtt

26.4 KB

9. [Activity] Covariance and Correlation.mp4

122.4 MB

9. [Activity] Covariance and Correlation.vtt

24.0 KB

10. [Exercise] Conditional Probability.mp4

136.7 MB

10. [Exercise] Conditional Probability.mp4.jpg

106.8 KB

10. [Exercise] Conditional Probability.txt

0.2 KB

10. [Exercise] Conditional Probability.vtt

23.8 KB

11. Exercise Solution Conditional Probability of Purchase by Age.mp4

30.1 MB

11. Exercise Solution Conditional Probability of Purchase by Age.vtt

4.6 KB

12. Bayes' Theorem.mp4

61.8 MB

12. Bayes' Theorem.vtt

10.7 KB

/3. Predictive Models/

1. [Activity] Linear Regression.mp4

105.3 MB

1. [Activity] Linear Regression.vtt

23.7 KB

2. [Activity] Polynomial Regression.mp4

70.0 MB

2. [Activity] Polynomial Regression.vtt

16.3 KB

3. [Activity] Multivariate Regression, and Predicting Car Prices.mp4

129.8 MB

3. [Activity] Multivariate Regression, and Predicting Car Prices.vtt

23.2 KB

4. Multi-Level Models.mp4

49.8 MB

4. Multi-Level Models.vtt

9.9 KB

Visit DazX Blog on SAnet.ST for more.url

0.1 KB

/.../4. Machine Learning with Python/

1. Supervised vs. Unsupervised Learning, and TrainTest.mp4

103.4 MB

1. Supervised vs. Unsupervised Learning, and TrainTest.vtt

19.4 KB

2. [Activity] Using TrainTest to Prevent Overfitting a Polynomial Regression.mp4

61.0 MB

2. [Activity] Using TrainTest to Prevent Overfitting a Polynomial Regression.vtt

12.2 KB

3. Bayesian Methods Concepts.mp4

42.7 MB

3. Bayesian Methods Concepts.vtt

8.2 KB

4. [Activity] Implementing a Spam Classifier with Naive Bayes.mp4

93.4 MB

4. [Activity] Implementing a Spam Classifier with Naive Bayes.vtt

16.2 KB

5. K-Means Clustering.mp4

75.4 MB

5. K-Means Clustering.vtt

15.9 KB

6. [Activity] Clustering people based on income and age.mp4

60.1 MB

6. [Activity] Clustering people based on income and age.vtt

10.7 KB

7. Measuring Entropy.mp4

36.7 MB

7. Measuring Entropy.vtt

6.5 KB

8. [Activity] Install GraphViz.html

1.5 KB

9. Decision Trees Concepts.mp4

90.7 MB

9. Decision Trees Concepts.vtt

19.5 KB

10. [Activity] Decision Trees Predicting Hiring Decisions.mp4

100.6 MB

10. [Activity] Decision Trees Predicting Hiring Decisions.vtt

20.7 KB

11. Ensemble Learning.mp4

68.4 MB

11. Ensemble Learning.vtt

13.5 KB

12. Support Vector Machines (SVM) Overview.mp4

46.9 MB

12. Support Vector Machines (SVM) Overview.vtt

9.2 KB

13. [Activity] Using SVM to cluster people using scikit-learn.mp4

57.7 MB

13. [Activity] Using SVM to cluster people using scikit-learn.vtt

11.1 KB

/5. Recommender Systems/

1. User-Based Collaborative Filtering.mp4

90.6 MB

1. User-Based Collaborative Filtering.vtt

18.0 KB

2. Item-Based Collaborative Filtering.mp4

78.6 MB

2. Item-Based Collaborative Filtering.vtt

18.5 KB

3. [Activity] Finding Movie Similarities.mp4

113.1 MB

3. [Activity] Finding Movie Similarities.vtt

18.6 KB

4. [Activity] Improving the Results of Movie Similarities.mp4

99.5 MB

4. [Activity] Improving the Results of Movie Similarities.vtt

15.6 KB

5. [Activity] Making Movie Recommendations to People.mp4

139.0 MB

5. [Activity] Making Movie Recommendations to People.vtt

20.9 KB

6. [Exercise] Improve the recommender's results.mp4

88.3 MB

6. [Exercise] Improve the recommender's results.vtt

12.3 KB

Visit DazX Blog on SAnet.ST for more.url

0.1 KB

/.../6. More Data Mining and Machine Learning Techniques/

1. K-Nearest-Neighbors Concepts.mp4

42.2 MB

1. K-Nearest-Neighbors Concepts.vtt

8.3 KB

2. [Activity] Using KNN to predict a rating for a movie.mp4

149.0 MB

2. [Activity] Using KNN to predict a rating for a movie.vtt

26.2 KB

3. Dimensionality Reduction; Principal Component Analysis.mp4

71.0 MB

3. Dimensionality Reduction; Principal Component Analysis.vtt

11.4 KB

4. [Activity] PCA Example with the Iris data set.mp4

115.1 MB

4. [Activity] PCA Example with the Iris data set.vtt

19.5 KB

5. Data Warehousing Overview ETL and ELT.mp4

108.4 MB

5. Data Warehousing Overview ETL and ELT.vtt

18.3 KB

6. Reinforcement Learning.mp4

138.7 MB

6. Reinforcement Learning.vtt

26.3 KB

6.1 Pac-Man Example.html

0.1 KB

6.2 Python Markov Decision Process Toolbox.html

0.1 KB

6.3 Cat and Mouse Example.html

0.1 KB

/.../7. Dealing with Real-World Data/

1. BiasVariance Tradeoff.mp4

69.5 MB

1. BiasVariance Tradeoff.vtt

13.4 KB

2. [Activity] K-Fold Cross-Validation to avoid overfitting.mp4

107.3 MB

2. [Activity] K-Fold Cross-Validation to avoid overfitting.vtt

22.7 KB

3. Data Cleaning and Normalization.mp4

82.6 MB

3. Data Cleaning and Normalization.vtt

15.9 KB

4. [Activity] Cleaning web log data.mp4

135.7 MB

4. [Activity] Cleaning web log data.vtt

22.0 KB

5. Normalizing numerical data.mp4

40.1 MB

5. Normalizing numerical data.vtt

7.2 KB

6. [Activity] Detecting outliers.mp4

87.7 MB

6. [Activity] Detecting outliers.vtt

14.3 KB

Visit DazX Blog on SAnet.ST for more.url

0.1 KB

/9. Experimental Design/

1. AB Testing Concepts.mp4

102.2 MB

1. AB Testing Concepts.vtt

18.7 KB

2. T-Tests and P-Values.mp4

68.1 MB

2. T-Tests and P-Values.vtt

12.3 KB

3. [Activity] Hands-on With T-Tests.mp4

85.6 MB

3. [Activity] Hands-on With T-Tests.vtt

12.7 KB

4. Determining How Long to Run an Experiment.mp4

36.5 MB

4. Determining How Long to Run an Experiment.vtt

7.8 KB

5. AB Test Gotchas.mp4

100.8 MB

5. AB Test Gotchas.vtt

20.3 KB

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0.1 KB

/.../10. Deep Learning and Neural Networks/

1. Deep Learning Pre-Requisites.mp4

71.2 MB

1. Deep Learning Pre-Requisites.vtt

17.6 KB

2. The History of Artificial Neural Networks.mp4

83.9 MB

2. The History of Artificial Neural Networks.vtt

17.2 KB

3. [Activity] Deep Learning in the Tensorflow Playground.mp4

148.5 MB

3. [Activity] Deep Learning in the Tensorflow Playground.vtt

17.5 KB

4. Deep Learning Details.mp4

67.3 MB

4. Deep Learning Details.vtt

15.2 KB

5. Introducing Tensorflow.mp4

101.1 MB

5. Introducing Tensorflow.vtt

20.2 KB

6. [Activity] Using Tensorflow, Part 1.mp4

107.3 MB

6. [Activity] Using Tensorflow, Part 1.vtt

19.8 KB

7. [Activity] Using Tensorflow, Part 2.mp4

140.1 MB

7. [Activity] Using Tensorflow, Part 2.vtt

19.9 KB

8. [Activity] Introducing Keras.mp4

112.7 MB

8. [Activity] Introducing Keras.vtt

29.3 KB

9. [Activity] Using Keras to Predict Political Affiliations.mp4

109.4 MB

9. [Activity] Using Keras to Predict Political Affiliations.vtt

26.7 KB

10. Convolutional Neural Networks (CNN's).mp4

97.6 MB

10. Convolutional Neural Networks (CNN's).vtt

18.0 KB

11. [Activity] Using CNN's for handwriting recognition.mp4

84.7 MB

11. [Activity] Using CNN's for handwriting recognition.vtt

16.7 KB

12. Recurrent Neural Networks (RNN's).mp4

72.5 MB

12. Recurrent Neural Networks (RNN's).vtt

16.7 KB

13. [Activity] Using a RNN for sentiment analysis.mp4

99.4 MB

13. [Activity] Using a RNN for sentiment analysis.vtt

21.2 KB

14. The Ethics of Deep Learning.mp4

134.5 MB

14. The Ethics of Deep Learning.vtt

17.8 KB

15. Learning More about Deep Learning.mp4

40.5 MB

15. Learning More about Deep Learning.vtt

2.8 KB

/.../11. Final Project/

1. Your final project assignment.mp4

61.8 MB

1. Your final project assignment.vtt

10.4 KB

2. Final project review.mp4

103.3 MB

2. Final project review.vtt

22.7 KB

Visit DazX Blog on SAnet.ST for more.url

0.1 KB

/.../12. You made it!/

1. More to Explore.mp4

67.2 MB

1. More to Explore.vtt

6.8 KB

2. Don't Forget to Leave a Rating!.html

0.6 KB

3. Bonus Lecture Discounts on my Spark and MapReduce courses!.mp4

50.7 MB

3. Bonus Lecture Discounts on my Spark and MapReduce courses!.vtt

4.2 KB

3.1 Get this course in printed book form!.html

0.1 KB

3.2 Become a mentor.html

0.1 KB

3.3 My website!.html

0.1 KB

Visit DazX Blog on SAnet.ST for more.url

0.1 KB

 

Total files 205


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