FreeCourseSite com Udemy 2021 Python for Machine Learning Data Science Masterclass

FreeCourseSite com Udemy 2021 Python for Machine Learning Data Science Masterclass

Name	[FreeCourseSite.com] Udemy - 2021 Python for Machine Learning & Data Science Masterclass	DOWNLOAD Copy Link Trouble downloading? see How To
Total Size	6.9 GB
Total Files	214
Hash	755AD0276149DB0667BFFC7B97F73AD3885D6AFB

/1. Introduction to Course/
1. EARLY BIRD INFO.html	0.6 KB
2. COURSE OVERVIEW LECTURE - PLEASE DO NOT SKIP!.mp4	25.7 MB
2. COURSE OVERVIEW LECTURE - PLEASE DO NOT SKIP!.srt	7.3 KB
2.1 UNZIP_ME_FOR_NOTEBOOKS.zip	28.4 MB
3. Anaconda Python and Jupyter Install and Setup.mp4	103.6 MB
3. Anaconda Python and Jupyter Install and Setup.srt	22.1 KB
3.1 UNZIP_ME_FOR_NOTEBOOKS.zip	28.4 MB
4. Environment Setup.mp4	51.7 MB
4. Environment Setup.srt	14.8 KB
4.1 Backup Google Link for requirements.txt file.html	0.1 KB
4.2 requirements.txt	0.2 KB
/10. Linear Regression/
1. Introduction to Linear Regression Section.mp4	9.3 MB
1. Introduction to Linear Regression Section.srt	2.7 KB
10. Linear Regression - Residual Plots.mp4	62.4 MB
10. Linear Regression - Residual Plots.srt	20.7 KB
11. Linear Regression - Model Deployment and Coefficient Interpretation.mp4	92.5 MB
11. Linear Regression - Model Deployment and Coefficient Interpretation.srt	26.2 KB
12. Polynomial Regression - Theory and Motivation.mp4	46.6 MB
12. Polynomial Regression - Theory and Motivation.srt	11.5 KB
13. Polynomial Regression - Creating Polynomial Features.mp4	55.2 MB
13. Polynomial Regression - Creating Polynomial Features.srt	16.8 KB
14. Polynomial Regression - Training and Evaluation.mp4	51.2 MB
14. Polynomial Regression - Training and Evaluation.srt	14.5 KB
15. Bias Variance Trade-Off.mp4	45.1 MB
15. Bias Variance Trade-Off.srt	16.3 KB
16. Polynomial Regression - Choosing Degree of Polynomial.mp4	76.5 MB
16. Polynomial Regression - Choosing Degree of Polynomial.srt	20.4 KB
17. Polynomial Regression - Model Deployment.mp4	30.3 MB
17. Polynomial Regression - Model Deployment.srt	8.6 KB
18. Regularization Overview.mp4	35.0 MB
18. Regularization Overview.srt	10.6 KB
19. Feature Scaling.mp4	56.6 MB
19. Feature Scaling.srt	15.2 KB
2. Linear Regression - Algorithm History.mp4	57.4 MB
2. Linear Regression - Algorithm History.srt	13.4 KB
20. Introduction to Cross Validation.mp4	65.6 MB
20. Introduction to Cross Validation.srt	20.3 KB
21. Regularization Data Setup.mp4	36.1 MB
21. Regularization Data Setup.srt	12.7 KB
22. L2 Regularization - Ridge Regression Theory.mp4	64.1 MB
22. L2 Regularization - Ridge Regression Theory.srt	21.2 KB
23. L2 Regularization - Ridge Regression - Python Implementation.mp4	101.1 MB
23. L2 Regularization - Ridge Regression - Python Implementation.srt	27.1 KB
24. L1 Regularization - Lasso Regression - Background and Implementation.mp4	104.9 MB
24. L1 Regularization - Lasso Regression - Background and Implementation.srt	23.0 KB
25. L1 and L2 Regularization - Elastic Net.mp4	97.9 MB
25. L1 and L2 Regularization - Elastic Net.srt	26.3 KB
26. Linear Regression Project - Data Overview.mp4	41.0 MB
26. Linear Regression Project - Data Overview.srt	7.9 KB
3. Linear Regression - Understanding Ordinary Least Squares.mp4	90.4 MB
3. Linear Regression - Understanding Ordinary Least Squares.srt	23.1 KB
4. Linear Regression - Cost Functions.mp4	37.8 MB
4. Linear Regression - Cost Functions.srt	11.7 KB
5. Linear Regression - Gradient Descent.mp4	68.2 MB
5. Linear Regression - Gradient Descent.srt	17.1 KB
6. Python coding Simple Linear Regression.mp4	96.4 MB
6. Python coding Simple Linear Regression.srt	28.8 KB
7. Overview of Scikit-Learn and Python.mp4	47.8 MB
7. Overview of Scikit-Learn and Python.srt	12.6 KB
8. Linear Regression - Scikit-Learn Train Test Split.mp4	87.0 MB
8. Linear Regression - Scikit-Learn Train Test Split.srt	24.3 KB
9. Linear Regression - Scikit-Learn Performance Evaluation - Regression.mp4	77.2 MB
9. Linear Regression - Scikit-Learn Performance Evaluation - Regression.srt	23.4 KB
/2. OPTIONAL Python Crash Course/
1. OPTIONAL Python Crash Course.html	0.5 KB
2. Python Crash Course - Part One.mp4	31.0 MB
2. Python Crash Course - Part One.srt	25.2 KB
3. Python Crash Course - Part Two.mp4	23.3 MB
3. Python Crash Course - Part Two.srt	18.5 KB
4. Python Crash Course - Part Three.mp4	24.3 MB
4. Python Crash Course - Part Three.srt	17.0 KB
5. Python Crash Course - Exercise Questions.mp4	5.2 MB
5. Python Crash Course - Exercise Questions.srt	2.6 KB
6. Python Crash Course - Exercise Solutions.mp4	26.3 MB
6. Python Crash Course - Exercise Solutions.srt	13.8 KB
/3. Machine Learning Pathway Overview/
1. Machine Learning Pathway.mp4	42.5 MB
1. Machine Learning Pathway.srt	16.2 KB
/4. NumPy/
1. Introduction to NumPy.mp4	11.8 MB
1. Introduction to NumPy.srt	3.1 KB
2. NumPy Arrays.mp4	115.0 MB
2. NumPy Arrays.srt	32.7 KB
3. Coding Exercise Check-in Creating NumPy Arrays.html	0.2 KB
4. NumPy Indexing and Selection.mp4	48.6 MB
4. NumPy Indexing and Selection.srt	16.6 KB
5. NumPy Operations.mp4	50.9 MB
5. NumPy Operations.srt	12.3 KB
6. NumPy Exercises.mp4	12.1 MB
6. NumPy Exercises.srt	2.1 KB
7. Numpy Exercises - Solutions.mp4	50.9 MB
7. Numpy Exercises - Solutions.srt	11.1 KB
/5. Pandas/
1. Introduction to Pandas.mp4	22.0 MB
1. Introduction to Pandas.srt	7.4 KB
10. Pandas - Useful Methods - Apply on Multiple Columns.mp4	103.3 MB
10. Pandas - Useful Methods - Apply on Multiple Columns.srt	26.6 KB
11. Pandas - Useful Methods - Statistical Information and Sorting.mp4	89.8 MB
11. Pandas - Useful Methods - Statistical Information and Sorting.srt	24.0 KB
12. Missing Data - Overview.mp4	55.8 MB
12. Missing Data - Overview.srt	18.8 KB
13. Missing Data - Pandas Operations.mp4	102.6 MB
13. Missing Data - Pandas Operations.srt	28.1 KB
14. GroupBy Operations - Part One.mp4	97.6 MB
14. GroupBy Operations - Part One.srt	21.9 KB
15. GroupBy Operations - Part Two - MultiIndex.mp4	111.0 MB
15. GroupBy Operations - Part Two - MultiIndex.srt	21.4 KB
16. Combining DataFrames - Concatenation.mp4	53.0 MB
16. Combining DataFrames - Concatenation.srt	15.4 KB
17. Combining DataFrames - Inner Merge.mp4	56.2 MB
17. Combining DataFrames - Inner Merge.srt	19.0 KB
18. Combining DataFrames - Left and Right Merge.mp4	29.3 MB
18. Combining DataFrames - Left and Right Merge.srt	9.3 KB
19. Combining DataFrames - Outer Merge.mp4	41.8 MB
19. Combining DataFrames - Outer Merge.srt	14.9 KB
2. Series - Part One.mp4	40.3 MB
2. Series - Part One.srt	13.7 KB
20. Pandas - Text Methods for String Data.mp4	79.4 MB
20. Pandas - Text Methods for String Data.srt	24.5 KB
21. Pandas - Time Methods for Date and Time Data.mp4	106.9 MB
21. Pandas - Time Methods for Date and Time Data.srt	32.5 KB
22. Pandas Input and Output - CSV Files.mp4	52.3 MB
22. Pandas Input and Output - CSV Files.srt	17.0 KB
23. Pandas Input and Output - HTML Tables.mp4	111.8 MB
23. Pandas Input and Output - HTML Tables.srt	22.9 KB
24. Pandas Input and Output - Excel Files.mp4	36.3 MB
24. Pandas Input and Output - Excel Files.srt	11.1 KB
25. Pandas Input and Output - SQL Databases.mp4	108.2 MB
25. Pandas Input and Output - SQL Databases.srt	30.1 KB
26. Pandas Pivot Tables.mp4	135.0 MB
26. Pandas Pivot Tables.srt	32.9 KB
27. Pandas Project Exercise Overview.mp4	43.1 MB
27. Pandas Project Exercise Overview.srt	9.8 KB
28. Pandas Project Exercise Solutions.mp4	190.4 MB
28. Pandas Project Exercise Solutions.srt	39.7 KB
3. Series - Part Two.mp4	47.5 MB
3. Series - Part Two.srt	15.7 KB
4. DataFrames - Part One - Creating a DataFrame.mp4	119.6 MB
4. DataFrames - Part One - Creating a DataFrame.srt	29.7 KB
5. DataFrames - Part Two - Basic Properties.mp4	56.5 MB
5. DataFrames - Part Two - Basic Properties.srt	13.6 KB
6. DataFrames - Part Three - Working with Columns.mp4	93.6 MB
6. DataFrames - Part Three - Working with Columns.srt	21.1 KB
7. DataFrames - Part Four - Working with Rows.mp4	101.4 MB
7. DataFrames - Part Four - Working with Rows.srt	21.6 KB
8. Pandas - Conditional Filtering.mp4	94.4 MB
8. Pandas - Conditional Filtering.srt	27.8 KB
9. Pandas - Useful Methods - Apply on Single Column.mp4	76.6 MB
9. Pandas - Useful Methods - Apply on Single Column.srt	20.7 KB
/6. Matplotlib/
1. Introduction to Matplotlib.mp4	22.6 MB
1. Introduction to Matplotlib.srt	6.9 KB
10. Matplotlib Exercise Questions Overview.mp4	53.2 MB
10. Matplotlib Exercise Questions Overview.srt	9.6 KB
11. Matplotlib Exercise Questions - Solutions.mp4	129.1 MB
11. Matplotlib Exercise Questions - Solutions.srt	25.1 KB
2. Matplotlib Basics.mp4	56.2 MB
2. Matplotlib Basics.srt	20.1 KB
3. Matplotlib - Understanding the Figure Object.mp4	27.1 MB
3. Matplotlib - Understanding the Figure Object.srt	11.8 KB
4. Matplotlib - Implementing Figures and Axes.mp4	62.0 MB
4. Matplotlib - Implementing Figures and Axes.srt	21.5 KB
5. Matplotlib - Figure Parameters.mp4	24.9 MB
5. Matplotlib - Figure Parameters.srt	7.8 KB
6. Matplotlib - Subplots Functionality.mp4	100.9 MB
6. Matplotlib - Subplots Functionality.srt	29.3 KB
7. Matplotlib Styling - Legends.mp4	35.8 MB
7. Matplotlib Styling - Legends.srt	10.6 KB
8. Matplotlib Styling - Colors and Styles.mp4	85.1 MB
8. Matplotlib Styling - Colors and Styles.srt	21.5 KB
9. Advanced Matplotlib Commands (Optional).mp4	42.4 MB
9. Advanced Matplotlib Commands (Optional).srt	6.6 KB
/7. Seaborn Data Visualizations/
1. Introduction to Seaborn.mp4	21.0 MB
1. Introduction to Seaborn.srt	6.7 KB
10. Seaborn - Comparison Plots - Coding with Seaborn.mp4	73.6 MB
10. Seaborn - Comparison Plots - Coding with Seaborn.srt	16.1 KB
11. Seaborn Grid Plots.mp4	96.1 MB
11. Seaborn Grid Plots.srt	21.0 KB
12. Seaborn - Matrix Plots.mp4	74.7 MB
12. Seaborn - Matrix Plots.srt	21.6 KB
13. Seaborn Plot Exercises Overview.mp4	52.3 MB
13. Seaborn Plot Exercises Overview.srt	11.5 KB
14. Seaborn Plot Exercises Solutions.mp4	116.0 MB
14. Seaborn Plot Exercises Solutions.srt	22.9 KB
2. Scatterplots with Seaborn.mp4	134.9 MB
2. Scatterplots with Seaborn.srt	30.4 KB
3. Distribution Plots - Part One - Understanding Plot Types.mp4	33.6 MB
3. Distribution Plots - Part One - Understanding Plot Types.srt	15.4 KB
4. Distribution Plots - Part Two - Coding with Seaborn.mp4	81.5 MB
4. Distribution Plots - Part Two - Coding with Seaborn.srt	25.4 KB
5. Categorical Plots - Statistics within Categories - Understanding Plot Types.mp4	22.9 MB
5. Categorical Plots - Statistics within Categories - Understanding Plot Types.srt	9.0 KB
6. Categorical Plots - Statistics within Categories - Coding with Seaborn.mp4	57.7 MB
6. Categorical Plots - Statistics within Categories - Coding with Seaborn.srt	15.0 KB
7. Categorical Plots - Distributions within Categories - Understanding Plot Types.mp4	64.1 MB
7. Categorical Plots - Distributions within Categories - Understanding Plot Types.srt	20.6 KB
8. Categorical Plots - Distributions within Categories - Coding with Seaborn.mp4	116.6 MB
8. Categorical Plots - Distributions within Categories - Coding with Seaborn.srt	28.9 KB
9. Seaborn - Comparison Plots - Understanding the Plot Types.mp4	24.5 MB
9. Seaborn - Comparison Plots - Understanding the Plot Types.srt	8.9 KB
/8. Data Analysis and Visualization Capstone Project Exercise/
1. Capstone Project Overview.mp4	97.7 MB
1. Capstone Project Overview.srt	21.1 KB
2. Capstone Project Solutions - Part One.mp4	122.6 MB
2. Capstone Project Solutions - Part One.srt	27.5 KB
3. Capstone Project Solutions - Part Two.mp4	116.4 MB
3. Capstone Project Solutions - Part Two.srt	24.0 KB
4. Capstone Project Solutions - Part Three.mp4	150.9 MB
4. Capstone Project Solutions - Part Three.srt	31.6 KB
/9. Machine Learning Concepts Overview/
1. Introduction to Machine Learning Overview Section.mp4	31.2 MB
1. Introduction to Machine Learning Overview Section.srt	8.8 KB
2. Why Machine Learning.mp4	46.9 MB
2. Why Machine Learning.srt	15.0 KB
3. Types of Machine Learning Algorithms.mp4	40.6 MB
3. Types of Machine Learning Algorithms.srt	11.9 KB
4. Supervised Machine Learning Process.mp4	74.9 MB
4. Supervised Machine Learning Process.srt	20.2 KB
5. Companion Book - Introduction to Statistical Learning.mp4	20.2 MB
5. Companion Book - Introduction to Statistical Learning.srt	4.8 KB
/
[FreeCourseSite.com].url	0.1 KB
Total files 214