0. Websites you may like/[CourseClub.Me].url
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0. Websites you may like/[DesireCourse.Net].url
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1. Part 1 Introduction/1. A Practical Example What You Will Learn in This Course.mp4
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1. Part 1 Introduction/1. A Practical Example What You Will Learn in This Course.srt
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1. Part 1 Introduction/2. What Does the Course Cover.mp4
62.26MB
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1. Part 1 Introduction/2. What Does the Course Cover.srt
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1. Part 1 Introduction/3. Download All Resources and Important FAQ.html
21.35KB
1. Part 1 Introduction/3.1 FAQ_The_Data_Science_Course.pdf
306.1KB
1. Part 1 Introduction/3.2 Download All Resources.html
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10. Probability - Combinatorics/1. Fundamentals of Combinatorics.mp4
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10. Probability - Combinatorics/1.1 Course Notes - Combinatorics.pdf
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10. Probability - Combinatorics/10. Solving Variations without Repetition.html
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10. Probability - Combinatorics/11. Solving Combinations.mp4
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10. Probability - Combinatorics/11.1 Combinations With Repetition.pdf
207.41KB
10. Probability - Combinatorics/12. Solving Combinations.html
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10. Probability - Combinatorics/13. Symmetry of Combinations.mp4
40.31MB
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10. Probability - Combinatorics/13.1 Symmetry Explained.pdf
85.04KB
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10. Probability - Combinatorics/15. Solving Combinations with Separate Sample Spaces.mp4
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3.73KB
10. Probability - Combinatorics/16. Solving Combinations with Separate Sample Spaces.html
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10. Probability - Combinatorics/17. Combinatorics in Real-Life The Lottery.mp4
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10. Probability - Combinatorics/19. A Recap of Combinatorics.mp4
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10. Probability - Combinatorics/2. Fundamentals of Combinatorics.html
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10. Probability - Combinatorics/20. A Practical Example of Combinatorics.mp4
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11. Probability - Bayesian Inference/1. Sets and Events.mp4
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11. Probability - Bayesian Inference/1.1 Course Notes - Bayesian Inference.pdf
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11. Probability - Bayesian Inference/14. The Conditional Probability Formula.html
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34.94MB
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15. Statistics - Descriptive Statistics/19. Skewness.mp4
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15. Statistics - Descriptive Statistics/22. Variance.mp4
50.96MB
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15. Statistics - Descriptive Statistics/24. Standard Deviation and Coefficient of Variation.mp4
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15. Statistics - Descriptive Statistics/27. Covariance.mp4
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15. Statistics - Descriptive Statistics/3. Levels of Measurement.mp4
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15. Statistics - Descriptive Statistics/30. Correlation Coefficient.mp4
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15. Statistics - Descriptive Statistics/5. Categorical Variables - Visualization Techniques.mp4
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15. Statistics - Descriptive Statistics/8. Numerical Variables - Frequency Distribution Table.mp4
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16. Statistics - Practical Example Descriptive Statistics/1. Practical Example Descriptive Statistics.mp4
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17. Statistics - Inferential Statistics Fundamentals/1. Introduction.mp4
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17. Statistics - Inferential Statistics Fundamentals/4. The Normal Distribution.mp4
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17. Statistics - Inferential Statistics Fundamentals/4. The Normal Distribution.srt
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17. Statistics - Inferential Statistics Fundamentals/6. The Standard Normal Distribution.mp4
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17. Statistics - Inferential Statistics Fundamentals/9. Central Limit Theorem.mp4
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18. Statistics - Inferential Statistics Confidence Intervals/1. What are Confidence Intervals.mp4
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18. Statistics - Inferential Statistics Confidence Intervals/10. Margin of Error.mp4
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18. Statistics - Inferential Statistics Confidence Intervals/14. Confidence intervals. Two means. Independent Samples (Part 1).mp4
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18. Statistics - Inferential Statistics Confidence Intervals/15. Confidence intervals. Two means. Independent Samples (Part 1). Exercise.html
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18. Statistics - Inferential Statistics Confidence Intervals/16. Confidence intervals. Two means. Independent Samples (Part 2).mp4
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18. Statistics - Inferential Statistics Confidence Intervals/17. Confidence intervals. Two means. Independent Samples (Part 2). Exercise.html
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18. Statistics - Inferential Statistics Confidence Intervals/18. Confidence intervals. Two means. Independent Samples (Part 3).mp4
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18. Statistics - Inferential Statistics Confidence Intervals/3. Confidence Intervals; Population Variance Known; Z-score.mp4
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18. Statistics - Inferential Statistics Confidence Intervals/4. Confidence Intervals; Population Variance Known; Z-score; Exercise.html
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18. Statistics - Inferential Statistics Confidence Intervals/5. Confidence Interval Clarifications.mp4
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19. Statistics - Practical Example Inferential Statistics/1. Practical Example Inferential Statistics.mp4
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21. Statistics - Practical Example Hypothesis Testing/1. Practical Example Hypothesis Testing.srt
8.49KB
21. Statistics - Practical Example Hypothesis Testing/1.1 4.10.Hypothesis-testing-section-practical-example.xlsx
51.9KB
21. Statistics - Practical Example Hypothesis Testing/2. Practical Example Hypothesis Testing Exercise.html
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21. Statistics - Practical Example Hypothesis Testing/2.1 4.10.Hypothesis-testing-section-practical-example-exercise-solution.xlsx
44.27KB
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43.69KB
22. Part 4 Introduction to Python/1. Introduction to Programming.mp4
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22. Part 4 Introduction to Python/10. Jupyter's Interface.html
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22. Part 4 Introduction to Python/11. Python 2 vs Python 3.mp4
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22. Part 4 Introduction to Python/11.1 Python Introduction - Course Notes.pdf
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22. Part 4 Introduction to Python/3. Why Python.mp4
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22. Part 4 Introduction to Python/5. Why Jupyter.mp4
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22. Part 4 Introduction to Python/7. Installing Python and Jupyter.mp4
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22. Part 4 Introduction to Python/8. Understanding Jupyter's Interface - the Notebook Dashboard.mp4
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23. Python - Variables and Data Types/1. Variables.mp4
25.3MB
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2.04MB
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165B
23. Python - Variables and Data Types/3. Numbers and Boolean Values in Python.mp4
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3.68KB
23. Python - Variables and Data Types/3.1 Numbers and Boolean Values - Resources.html
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165B
23. Python - Variables and Data Types/5. Python Strings.mp4
50.65MB
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14.55KB
23. Python - Variables and Data Types/5.1 Strings - Resources.html
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165B
24. Python - Basic Python Syntax/1. Using Arithmetic Operators in Python.mp4
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4.11KB
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24. Python - Basic Python Syntax/10. Indexing Elements.mp4
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1.7KB
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24. Python - Basic Python Syntax/12. Structuring with Indentation.mp4
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24. Python - Basic Python Syntax/3. The Double Equality Sign.mp4
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24. Python - Basic Python Syntax/7. Add Comments.mp4
11.27MB
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24. Python - Basic Python Syntax/7. Add Comments.srt
3.87KB
24. Python - Basic Python Syntax/7.1 Add Comments - Resources.html
134B
24. Python - Basic Python Syntax/8. Add Comments.html
165B
24. Python - Basic Python Syntax/9. Understanding Line Continuation.mp4
2.36MB
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24. Python - Basic Python Syntax/9. Understanding Line Continuation.srt
1.13KB
24. Python - Basic Python Syntax/9.1 Line Continuation - Resources.html
134B
25. Python - Other Python Operators/1. Comparison Operators.mp4
10.17MB
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25. Python - Other Python Operators/1. Comparison Operators.srt
2.47KB
25. Python - Other Python Operators/1.1 Comparison Operators - Resources.html
134B
25. Python - Other Python Operators/2. Comparison Operators.html
165B
25. Python - Other Python Operators/3. Logical and Identity Operators.mp4
30.05MB
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25. Python - Other Python Operators/3. Logical and Identity Operators.srt
5.77KB
25. Python - Other Python Operators/3.1 Logical and Identity Operators - Resources.html
134B
25. Python - Other Python Operators/4. Logical and Identity Operators.html
165B
25. Python - Other Python Operators/[CourseClub.Me].url
48B
25. Python - Other Python Operators/[DesireCourse.Net].url
51B
26. Python - Conditional Statements/1. The IF Statement.mp4
23.24MB
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26. Python - Conditional Statements/1. The IF Statement.srt
7.6KB
26. Python - Conditional Statements/1.1 Introduction to the If Statement - Resources.html
134B
26. Python - Conditional Statements/2. The IF Statement.html
165B
26. Python - Conditional Statements/3. The ELSE Statement.mp4
23.29MB
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26. Python - Conditional Statements/3. The ELSE Statement.srt
6.28KB
26. Python - Conditional Statements/3.1 Add an Else Statement - Resources.html
134B
26. Python - Conditional Statements/4. The ELIF Statement.mp4
53.34MB
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26. Python - Conditional Statements/4. The ELIF Statement.srt
13.19KB
26. Python - Conditional Statements/4.1 Else if, for Brief - Elif - Resources.html
134B
26. Python - Conditional Statements/5. A Note on Boolean Values.mp4
20MB
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26. Python - Conditional Statements/5. A Note on Boolean Values.srt
6.21KB
26. Python - Conditional Statements/5.1 A Note on Boolean Values - Resources.html
134B
26. Python - Conditional Statements/6. A Note on Boolean Values.html
165B
27. Python - Python Functions/1. Defining a Function in Python.mp4
14.76MB
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27. Python - Python Functions/1. Defining a Function in Python.srt
5.32KB
27. Python - Python Functions/1.1 Defining a Function in Python - Resources.html
134B
27. Python - Python Functions/2. How to Create a Function with a Parameter.mp4
38.11MB
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27. Python - Python Functions/2. How to Create a Function with a Parameter.srt
8.98KB
27. Python - Python Functions/2.1 Creating a Function with a Parameter - Resources.html
134B
27. Python - Python Functions/3. Defining a Function in Python - Part II.mp4
25.25MB
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27. Python - Python Functions/3. Defining a Function in Python - Part II.srt
6.42KB
27. Python - Python Functions/3.1 Another Way to Define a Function - Resources.html
134B
27. Python - Python Functions/4. How to Use a Function within a Function.mp4
8.14MB
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27. Python - Python Functions/4. How to Use a Function within a Function.srt
2.03KB
27. Python - Python Functions/4.1 Using a Function in Another Function - Resources.html
134B
27. Python - Python Functions/5. Conditional Statements and Functions.mp4
15.69MB
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27. Python - Python Functions/5. Conditional Statements and Functions.srt
3.51KB
27. Python - Python Functions/5.1 Combining Conditional Statements and Functions - Resources.html
134B
27. Python - Python Functions/6. Functions Containing a Few Arguments.mp4
14.71MB
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27. Python - Python Functions/6. Functions Containing a Few Arguments.srt
3KB
27. Python - Python Functions/6.1 Creating Functions Containing a Few Arguments - Resources.html
134B
27. Python - Python Functions/7. Built-in Functions in Python.mp4
22.02MB
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27. Python - Python Functions/7. Built-in Functions in Python.srt
4.21KB
27. Python - Python Functions/7.1 Notable Built-In Functions in Python - Resources.html
134B
27. Python - Python Functions/8. Python Functions.html
165B
28. Python - Sequences/1. Lists.mp4
37.8MB
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28. Python - Sequences/1. Lists.srt
9.83KB
28. Python - Sequences/1.1 Lists - Resources.html
134B
28. Python - Sequences/2. Lists.html
165B
28. Python - Sequences/3. Using Methods.mp4
37.6MB
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28. Python - Sequences/3. Using Methods.srt
8.36KB
28. Python - Sequences/3.1 Help Yourself with Methods - Resources.html
134B
28. Python - Sequences/4. Using Methods.html
165B
28. Python - Sequences/5. List Slicing.mp4
30.77MB
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5.55KB
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134B
28. Python - Sequences/6. Tuples.mp4
29.5MB
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6.92KB
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134B
28. Python - Sequences/7. Dictionaries.mp4
41.69MB
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8.43KB
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134B
28. Python - Sequences/8. Dictionaries.html
165B
29. Python - Iterations/1. For Loops.mp4
23.6MB
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6.58KB
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134B
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165B
29. Python - Iterations/3. While Loops and Incrementing.mp4
28.43MB
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5.9KB
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134B
29. Python - Iterations/4. Lists with the range() Function.mp4
25.79MB
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29. Python - Iterations/4. Lists with the range() Function.srt
7.66KB
29. Python - Iterations/4.1 Create Lists with the range() Function - Resources.html
134B
29. Python - Iterations/5. Lists with the range() Function.html
165B
29. Python - Iterations/6. Conditional Statements and Loops.mp4
27.77MB
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7.46KB
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134B
29. Python - Iterations/7. Conditional Statements, Functions, and Loops.mp4
9.48MB
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29. Python - Iterations/7. Conditional Statements, Functions, and Loops.srt
2.41KB
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134B
29. Python - Iterations/8. How to Iterate over Dictionaries.mp4
29.65MB
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29. Python - Iterations/8. How to Iterate over Dictionaries.srt
7.93KB
29. Python - Iterations/8.1 Iterating over Dictionaries - Resources.html
134B
3. The Field of Data Science - Connecting the Data Science Disciplines/1. Applying Traditional Data, Big Data, BI, Traditional Data Science and ML.mp4
126.87MB
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3. The Field of Data Science - Connecting the Data Science Disciplines/1. Applying Traditional Data, Big Data, BI, Traditional Data Science and ML.srt
8.99KB
3. The Field of Data Science - Connecting the Data Science Disciplines/2. Applying Traditional Data, Big Data, BI, Traditional Data Science and ML.html
165B
30. Python - Advanced Python Tools/1. Object Oriented Programming.mp4
33.6MB
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6.1KB
30. Python - Advanced Python Tools/2. Object Oriented Programming.html
165B
30. Python - Advanced Python Tools/3. Modules and Packages.mp4
8.5MB
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1.26KB
30. Python - Advanced Python Tools/4. Modules and Packages.html
165B
30. Python - Advanced Python Tools/5. What is the Standard Library.mp4
18.03MB
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3.56KB
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165B
30. Python - Advanced Python Tools/7. Importing Modules in Python.mp4
19.94MB
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4.81KB
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165B
31. Part 5 Advanced Statistical Methods in Python/1. Introduction to Regression Analysis.mp4
17.32MB
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2.21KB
31. Part 5 Advanced Statistical Methods in Python/1.1 Course notes_regression_analysis.pdf
312.18KB
31. Part 5 Advanced Statistical Methods in Python/2. Introduction to Regression Analysis.html
165B
32. Advanced Statistical Methods - Linear Regression with StatsModels/1. The Linear Regression Model.mp4
57.38MB
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1.64KB
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165B
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1.33KB
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134B
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134B
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165B
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24.69MB
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4.44KB
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54.84MB
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7.53KB
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134B
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165B
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134B
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16.42MB
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3.03KB
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165B
33. Advanced Statistical Methods - Multiple Linear Regression with StatsModels/9. A1 Linearity.mp4
12.61MB
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27.25MB
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29.51MB
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6.67KB
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134B
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372B
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134B
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12.31MB
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3.01KB
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134B
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76B
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134B
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39.09MB
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7.68KB
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134B
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34.89MB
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7.26KB
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134B
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25.97MB
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5.59KB
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134B
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76B
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9.59KB
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19.41MB
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156B
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170B
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36. Advanced Statistical Methods - Logistic Regression/4. Building a Logistic Regression.srt
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36. Advanced Statistical Methods - Logistic Regression/6. An Invaluable Coding Tip.mp4
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36. Advanced Statistical Methods - Logistic Regression/7. Understanding Logistic Regression Tables.mp4
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36. Advanced Statistical Methods - Logistic Regression/9. What do the Odds Actually Mean.mp4
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37. Advanced Statistical Methods - Cluster Analysis/1. Introduction to Cluster Analysis.mp4
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38. Advanced Statistical Methods - K-Means Clustering/6. How to Choose the Number of Clusters.mp4
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38. Advanced Statistical Methods - K-Means Clustering/6. How to Choose the Number of Clusters.srt
7.37KB
38. Advanced Statistical Methods - K-Means Clustering/6.1 How to choose the number of clusters.html
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38. Advanced Statistical Methods - K-Means Clustering/7. How to Choose the Number of Clusters - Exercise.html
87B
38. Advanced Statistical Methods - K-Means Clustering/7.1 Countries_exercise.csv
8.27KB
38. Advanced Statistical Methods - K-Means Clustering/7.2 How to choose the number of clusters.html
134B
38. Advanced Statistical Methods - K-Means Clustering/8. Pros and Cons of K-Means Clustering.mp4
37.71MB
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38. Advanced Statistical Methods - K-Means Clustering/9. To Standardize or not to Standardize.mp4
30.11MB
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5.88KB
39. Advanced Statistical Methods - Other Types of Clustering/1. Types of Clustering.mp4
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6.34KB
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4. The Field of Data Science - The Benefits of Each Discipline/1. The Reason Behind These Disciplines.mp4
81.19MB
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6.5KB
4. The Field of Data Science - The Benefits of Each Discipline/2. The Reason Behind These Disciplines.html
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40. Part 6 Mathematics/1. What is a Matrix.mp4
33.6MB
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4.34KB
40. Part 6 Mathematics/10. Addition and Subtraction of Matrices.mp4
32.62MB
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4.04KB
40. Part 6 Mathematics/10.1 Addition and Subtraction of Matrices Python Notebook.html
178B
40. Part 6 Mathematics/11. Addition and Subtraction of Matrices.html
165B
40. Part 6 Mathematics/12. Errors when Adding Matrices.mp4
11.17MB
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40. Part 6 Mathematics/12. Errors when Adding Matrices.srt
2.57KB
40. Part 6 Mathematics/12.1 Errors when Adding Matrices Python Notebook.html
220B
40. Part 6 Mathematics/13. Transpose of a Matrix.mp4
38.08MB
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5.37KB
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40. Part 6 Mathematics/14. Dot Product.mp4
24MB
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40. Part 6 Mathematics/15. Dot Product of Matrices.mp4
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40. Part 6 Mathematics/15. Dot Product of Matrices.srt
9.52KB
40. Part 6 Mathematics/15.1 Dot Product of Matrices Python Notebook.html
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40. Part 6 Mathematics/16. Why is Linear Algebra Useful.mp4
144.34MB
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40. Part 6 Mathematics/16. Why is Linear Algebra Useful.srt
11.79KB
40. Part 6 Mathematics/2. What is a Matrix.html
165B
40. Part 6 Mathematics/3. Scalars and Vectors.mp4
33.85MB
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40. Part 6 Mathematics/3. Scalars and Vectors.srt
3.78KB
40. Part 6 Mathematics/4. Scalars and Vectors.html
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40. Part 6 Mathematics/5. Linear Algebra and Geometry.mp4
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40. Part 6 Mathematics/5. Linear Algebra and Geometry.srt
4.09KB
40. Part 6 Mathematics/6. Linear Algebra and Geometry.html
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40. Part 6 Mathematics/7. Arrays in Python - A Convenient Way To Represent Matrices.mp4
26.67MB
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40. Part 6 Mathematics/7. Arrays in Python - A Convenient Way To Represent Matrices.srt
6.13KB
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45. Deep Learning - Digging Deeper into NNs Introducing Deep Neural Networks/6. Activation Functions Softmax Activation.srt
4.46KB
45. Deep Learning - Digging Deeper into NNs Introducing Deep Neural Networks/7. Backpropagation.mp4
34.95MB
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4.46KB
45. Deep Learning - Digging Deeper into NNs Introducing Deep Neural Networks/8. Backpropagation Picture.mp4
19.5MB
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45. Deep Learning - Digging Deeper into NNs Introducing Deep Neural Networks/8. Backpropagation Picture.srt
3.97KB
45. Deep Learning - Digging Deeper into NNs Introducing Deep Neural Networks/9. Backpropagation - A Peek into the Mathematics of Optimization.html
539B
45. Deep Learning - Digging Deeper into NNs Introducing Deep Neural Networks/9.1 Backpropagation-a-peek-into-the-Mathematics-of-Optimization.pdf
182.38KB
46. Deep Learning - Overfitting/1. What is Overfitting.mp4
31.09MB
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46. Deep Learning - Overfitting/1. What is Overfitting.srt
5.58KB
46. Deep Learning - Overfitting/2. Underfitting and Overfitting for Classification.mp4
25.08MB
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2.63KB
46. Deep Learning - Overfitting/3. What is Validation.mp4
32.72MB
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4.9KB
46. Deep Learning - Overfitting/4. Training, Validation, and Test Datasets.mp4
25.2MB
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3.6KB
46. Deep Learning - Overfitting/5. N-Fold Cross Validation.mp4
20.71MB
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4.17KB
46. Deep Learning - Overfitting/6. Early Stopping or When to Stop Training.mp4
24.18MB
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6.86KB
47. Deep Learning - Initialization/1. What is Initialization.mp4
21.77MB
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3.5KB
47. Deep Learning - Initialization/2. Types of Simple Initializations.mp4
14.32MB
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3.67KB
47. Deep Learning - Initialization/3. State-of-the-Art Method - (Xavier) Glorot Initialization.mp4
17.14MB
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47. Deep Learning - Initialization/3. State-of-the-Art Method - (Xavier) Glorot Initialization.srt
3.71KB
48. Deep Learning - Digging into Gradient Descent and Learning Rate Schedules/1. Stochastic Gradient Descent.mp4
28.69MB
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48. Deep Learning - Digging into Gradient Descent and Learning Rate Schedules/1. Stochastic Gradient Descent.srt
4.81KB
48. Deep Learning - Digging into Gradient Descent and Learning Rate Schedules/2. Problems with Gradient Descent.mp4
11.02MB
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48. Deep Learning - Digging into Gradient Descent and Learning Rate Schedules/2. Problems with Gradient Descent.srt
2.83KB
48. Deep Learning - Digging into Gradient Descent and Learning Rate Schedules/3. Momentum.mp4
16.43MB
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48. Deep Learning - Digging into Gradient Descent and Learning Rate Schedules/3. Momentum.srt
3.45KB
48. Deep Learning - Digging into Gradient Descent and Learning Rate Schedules/4. Learning Rate Schedules, or How to Choose the Optimal Learning Rate.mp4
29.09MB
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5.93KB
48. Deep Learning - Digging into Gradient Descent and Learning Rate Schedules/5. Learning Rate Schedules Visualized.mp4
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2.16KB
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51. Deep Learning - Business Case Example/7. Business Case Load the Preprocessed Data - Exercise.html
79B
51. Deep Learning - Business Case Example/7.1 Business Case Load the Preprocessed Data.html
134B
51. Deep Learning - Business Case Example/8. Business Case Learning and Interpreting the Result.mp4
31.19MB
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51. Deep Learning - Business Case Example/8. Business Case Learning and Interpreting the Result.srt
6.27KB
51. Deep Learning - Business Case Example/8.1 Business Case Learning and Interpreting.html
134B
51. Deep Learning - Business Case Example/9. Business Case Setting an Early Stopping Mechanism.mp4
49.82MB
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51. Deep Learning - Business Case Example/9. Business Case Setting an Early Stopping Mechanism.srt
7.82KB
51. Deep Learning - Business Case Example/9.1 Business Case Setting an Early Stopping Mechanism.html
134B
52. Deep Learning - Conclusion/1. Summary on What You've Learned.mp4
39.76MB
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52. Deep Learning - Conclusion/1. Summary on What You've Learned.srt
5.21KB
52. Deep Learning - Conclusion/2. What's Further out there in terms of Machine Learning.mp4
20.13MB
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52. Deep Learning - Conclusion/2. What's Further out there in terms of Machine Learning.srt
2.55KB
52. Deep Learning - Conclusion/3. DeepMind and Deep Learning.html
1.05KB
52. Deep Learning - Conclusion/4. An overview of CNNs.mp4
58.8MB
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52. Deep Learning - Conclusion/4. An overview of CNNs.srt
6.44KB
52. Deep Learning - Conclusion/5. An Overview of RNNs.mp4
25.26MB
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52. Deep Learning - Conclusion/5. An Overview of RNNs.srt
3.71KB
52. Deep Learning - Conclusion/6. An Overview of non-NN Approaches.mp4
44.78MB
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52. Deep Learning - Conclusion/6. An Overview of non-NN Approaches.srt
5.12KB
53. Appendix Deep Learning - TensorFlow 1 Introduction/1. READ ME!!!!.html
564B
53. Appendix Deep Learning - TensorFlow 1 Introduction/10. Basic NN Example with TF Exercises.html
1.59KB
53. Appendix Deep Learning - TensorFlow 1 Introduction/10.1 Basic NN Example with TensorFlow Exercise 3 Solution.html
160B
53. Appendix Deep Learning - TensorFlow 1 Introduction/10.2 Basic NN Example with TensorFlow Exercise 2.1 Solution.html
162B
53. Appendix Deep Learning - TensorFlow 1 Introduction/10.3 Basic NN Example with TensorFlow (All Exercises).html
154B
53. Appendix Deep Learning - TensorFlow 1 Introduction/10.4 Basic NN Example with TensorFlow Exercise 2.3 Solution.html
162B
53. Appendix Deep Learning - TensorFlow 1 Introduction/10.5 Basic NN Example with TensorFlow Exercise 1 Solution.html
160B
53. Appendix Deep Learning - TensorFlow 1 Introduction/10.6 Basic NN Example with TensorFlow Exercise 2.2 Solution.html
162B
53. Appendix Deep Learning - TensorFlow 1 Introduction/10.7 Basic NN Example with TensorFlow Exercise 2.4 Solution.html
162B
53. Appendix Deep Learning - TensorFlow 1 Introduction/10.8 Basic NN Example with TensorFlow Exercise 4 Solution.html
160B
53. Appendix Deep Learning - TensorFlow 1 Introduction/2. How to Install TensorFlow 1.mp4
11.36MB
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53. Appendix Deep Learning - TensorFlow 1 Introduction/2. How to Install TensorFlow 1.srt
3.42KB
53. Appendix Deep Learning - TensorFlow 1 Introduction/3. A Note on Installing Packages in Anaconda.html
2.3KB
53. Appendix Deep Learning - TensorFlow 1 Introduction/4. TensorFlow Intro.mp4
47.7MB
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53. Appendix Deep Learning - TensorFlow 1 Introduction/4. TensorFlow Intro.srt
5.2KB
53. Appendix Deep Learning - TensorFlow 1 Introduction/5. Actual Introduction to TensorFlow.mp4
17.41MB
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53. Appendix Deep Learning - TensorFlow 1 Introduction/5. Actual Introduction to TensorFlow.srt
2.17KB
53. Appendix Deep Learning - TensorFlow 1 Introduction/5.1 Actual Introduction to TensorFlow.html
134B
53. Appendix Deep Learning - TensorFlow 1 Introduction/5.2 Shortcuts-for-Jupyter.pdf
619.17KB
53. Appendix Deep Learning - TensorFlow 1 Introduction/6. Types of File Formats, supporting Tensors.mp4
20.34MB
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53. Appendix Deep Learning - TensorFlow 1 Introduction/6. Types of File Formats, supporting Tensors.srt
3.45KB
53. Appendix Deep Learning - TensorFlow 1 Introduction/6.1 Basic NN Example with TensorFlow (Part 1).html
154B
53. Appendix Deep Learning - TensorFlow 1 Introduction/7. Basic NN Example with TF Inputs, Outputs, Targets, Weights, Biases.mp4
38.5MB
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53. Appendix Deep Learning - TensorFlow 1 Introduction/7. Basic NN Example with TF Inputs, Outputs, Targets, Weights, Biases.srt
7.36KB
53. Appendix Deep Learning - TensorFlow 1 Introduction/7.1 Basic NN Example with TensorFlow (Part 2).html
154B
53. Appendix Deep Learning - TensorFlow 1 Introduction/8. Basic NN Example with TF Loss Function and Gradient Descent.mp4
32.52MB
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53. Appendix Deep Learning - TensorFlow 1 Introduction/8. Basic NN Example with TF Loss Function and Gradient Descent.srt
4.83KB
53. Appendix Deep Learning - TensorFlow 1 Introduction/8.1 Basic NN Example with TensorFlow (Part 3).html
154B
53. Appendix Deep Learning - TensorFlow 1 Introduction/9. Basic NN Example with TF Model Output.mp4
37.39MB
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53. Appendix Deep Learning - TensorFlow 1 Introduction/9. Basic NN Example with TF Model Output.srt
7.93KB
53. Appendix Deep Learning - TensorFlow 1 Introduction/9.1 Basic NN Example with TensorFlow (Complete).html
156B
54. Appendix Deep Learning - TensorFlow 1 Classifying on the MNIST Dataset/1. MNIST What is the MNIST Dataset.mp4
17.83MB
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54. Appendix Deep Learning - TensorFlow 1 Classifying on the MNIST Dataset/1. MNIST What is the MNIST Dataset.srt
3.49KB
54. Appendix Deep Learning - TensorFlow 1 Classifying on the MNIST Dataset/10. MNIST Solutions.html
2.19KB
54. Appendix Deep Learning - TensorFlow 1 Classifying on the MNIST Dataset/10.1 TensorFlow MNIST '6. Batch size (Part 1)' Solution.html
162B
54. Appendix Deep Learning - TensorFlow 1 Classifying on the MNIST Dataset/10.10 TensorFlow MNIST 'Time' Solution.html
162B
54. Appendix Deep Learning - TensorFlow 1 Classifying on the MNIST Dataset/10.11 TensorFlow MNIST '4. Activation Functions (Part 1)' Solution.html
172B
54. Appendix Deep Learning - TensorFlow 1 Classifying on the MNIST Dataset/10.2 TensorFlow MNIST 'Around 98% Accuracy' Solution.html
157B
54. Appendix Deep Learning - TensorFlow 1 Classifying on the MNIST Dataset/10.3 TensorFlow MNIST '3. Width and Depth' Solution.html
160B
54. Appendix Deep Learning - TensorFlow 1 Classifying on the MNIST Dataset/10.4 TensorFlow MNIST '5. Activation Functions (Part 2)' Solution.html
172B
54. Appendix Deep Learning - TensorFlow 1 Classifying on the MNIST Dataset/10.5 TensorFlow MNIST '1. Width' Solution.html
150B
54. Appendix Deep Learning - TensorFlow 1 Classifying on the MNIST Dataset/10.6 TensorFlow MNIST '7. Batch size (Part 2)' Solution.html
162B
54. Appendix Deep Learning - TensorFlow 1 Classifying on the MNIST Dataset/10.7 TensorFlow MNIST '8. Learning Rate (Part 1)' Solution.html
165B
54. Appendix Deep Learning - TensorFlow 1 Classifying on the MNIST Dataset/10.8 TensorFlow MNIST '9. Learning Rate (Part 2)' Solution.html
165B
54. Appendix Deep Learning - TensorFlow 1 Classifying on the MNIST Dataset/10.9 TensorFlow MNIST '2. Depth' Solution.html
150B
54. Appendix Deep Learning - TensorFlow 1 Classifying on the MNIST Dataset/11. MNIST Exercises.html
2.13KB
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54. Appendix Deep Learning - TensorFlow 1 Classifying on the MNIST Dataset/2. MNIST How to Tackle the MNIST.mp4
22.59MB
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54. Appendix Deep Learning - TensorFlow 1 Classifying on the MNIST Dataset/2. MNIST How to Tackle the MNIST.srt
3.62KB
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54. Appendix Deep Learning - TensorFlow 1 Classifying on the MNIST Dataset/8. MNIST Learning.mp4
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55. Appendix Deep Learning - TensorFlow 1 Business Case/1. Business Case Getting Acquainted with the Dataset.mp4
87.66MB
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55. Appendix Deep Learning - TensorFlow 1 Business Case/10. Business Case Testing the Model.mp4
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55. Appendix Deep Learning - TensorFlow 1 Business Case/11. Business Case A Comment on the Homework.mp4
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55. Appendix Deep Learning - TensorFlow 1 Business Case/2. Business Case Outlining the Solution.srt
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55. Appendix Deep Learning - TensorFlow 1 Business Case/3. The Importance of Working with a Balanced Dataset.mp4
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55. Appendix Deep Learning - TensorFlow 1 Business Case/6. Creating a Data Provider.mp4
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55. Appendix Deep Learning - TensorFlow 1 Business Case/7. Business Case Model Outline.mp4
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55. Appendix Deep Learning - TensorFlow 1 Business Case/8. Business Case Optimization.mp4
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55. Appendix Deep Learning - TensorFlow 1 Business Case/9. Business Case Interpretation.mp4
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56. Software Integration/1. What are Data, Servers, Clients, Requests, and Responses.mp4
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57. Case Study - What's Next in the Course/2. The Business Task.mp4
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58. Case Study - Preprocessing the 'Absenteeism_data'/1. What to Expect from the Following Sections.html
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58. Case Study - Preprocessing the 'Absenteeism_data'/11. Obtaining Dummies from a Single Feature.mp4
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58. Case Study - Preprocessing the 'Absenteeism_data'/20. Reordering Columns in a Pandas DataFrame in Python.mp4
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58. Case Study - Preprocessing the 'Absenteeism_data'/20. Reordering Columns in a Pandas DataFrame in Python.srt
1.82KB
58. Case Study - Preprocessing the 'Absenteeism_data'/21. EXERCISE - Reordering Columns in a Pandas DataFrame in Python.html
167B
58. Case Study - Preprocessing the 'Absenteeism_data'/22. SOLUTION - Reordering Columns in a Pandas DataFrame in Python.html
471B
58. Case Study - Preprocessing the 'Absenteeism_data'/23. Creating Checkpoints while Coding in Jupyter.mp4
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58. Case Study - Preprocessing the 'Absenteeism_data'/23. Creating Checkpoints while Coding in Jupyter.srt
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58. Case Study - Preprocessing the 'Absenteeism_data'/23.1 Creating Checkpoints.html
176B
58. Case Study - Preprocessing the 'Absenteeism_data'/24. EXERCISE - Creating Checkpoints while Coding in Jupyter.html
137B
58. Case Study - Preprocessing the 'Absenteeism_data'/25. SOLUTION - Creating Checkpoints while Coding in Jupyter.html
117B
58. Case Study - Preprocessing the 'Absenteeism_data'/26. Analyzing the Dates from the Initial Data Set.mp4
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58. Case Study - Preprocessing the 'Absenteeism_data'/26. Analyzing the Dates from the Initial Data Set.srt
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58. Case Study - Preprocessing the 'Absenteeism_data'/27. Extracting the Month Value from the Date Column.mp4
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58. Case Study - Preprocessing the 'Absenteeism_data'/27. Extracting the Month Value from the Date Column.srt
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58. Case Study - Preprocessing the 'Absenteeism_data'/28. Extracting the Day of the Week from the Date Column.mp4
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58. Case Study - Preprocessing the 'Absenteeism_data'/28. Extracting the Day of the Week from the Date Column.srt
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58. Case Study - Preprocessing the 'Absenteeism_data'/29. EXERCISE - Removing the Date Column.html
1.21KB
58. Case Study - Preprocessing the 'Absenteeism_data'/29.1 Preprocessing.html
191B
58. Case Study - Preprocessing the 'Absenteeism_data'/29.2 Removing the “Date” Column.html
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58. Case Study - Preprocessing the 'Absenteeism_data'/3. Checking the Content of the Data Set.mp4
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58. Case Study - Preprocessing the 'Absenteeism_data'/30. Analyzing Several Straightforward Columns for this Exercise.mp4
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58. Case Study - Preprocessing the 'Absenteeism_data'/31. Working on Education, Children, and Pets.mp4
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58. Case Study - Preprocessing the 'Absenteeism_data'/32. Final Remarks of this Section.mp4
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58. Case Study - Preprocessing the 'Absenteeism_data'/32. Final Remarks of this Section.srt
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58. Case Study - Preprocessing the 'Absenteeism_data'/32.1 Exercises and solutions.html
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58. Case Study - Preprocessing the 'Absenteeism_data'/32.2 Preprocessing.html
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58. Case Study - Preprocessing the 'Absenteeism_data'/33. A Note on Exporting Your Data as a .csv File.html
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58. Case Study - Preprocessing the 'Absenteeism_data'/4. Introduction to Terms with Multiple Meanings.mp4
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58. Case Study - Preprocessing the 'Absenteeism_data'/5. What's Regression Analysis - a Quick Refresher.html
2.84KB
58. Case Study - Preprocessing the 'Absenteeism_data'/6. Using a Statistical Approach towards the Solution to the Exercise.mp4
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58. Case Study - Preprocessing the 'Absenteeism_data'/6. Using a Statistical Approach towards the Solution to the Exercise.srt
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58. Case Study - Preprocessing the 'Absenteeism_data'/7. Dropping a Column from a DataFrame in Python.mp4
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58. Case Study - Preprocessing the 'Absenteeism_data'/7. Dropping a Column from a DataFrame in Python.srt
7.81KB
58. Case Study - Preprocessing the 'Absenteeism_data'/8. EXERCISE - Dropping a Column from a DataFrame in Python.html
866B
58. Case Study - Preprocessing the 'Absenteeism_data'/9. SOLUTION - Dropping a Column from a DataFrame in Python.html
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59. Case Study - Applying Machine Learning to Create the 'absenteeism_module'/1. Exploring the Problem with a Machine Learning Mindset.mp4
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59. Case Study - Applying Machine Learning to Create the 'absenteeism_module'/1. Exploring the Problem with a Machine Learning Mindset.srt
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59. Case Study - Applying Machine Learning to Create the 'absenteeism_module'/1.1 Absenteeism_preprocessed.csv
29.13KB
59. Case Study - Applying Machine Learning to Create the 'absenteeism_module'/10. Interpreting the Coefficients of the Logistic Regression.mp4
40.41MB
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59. Case Study - Applying Machine Learning to Create the 'absenteeism_module'/10. Interpreting the Coefficients of the Logistic Regression.srt
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59. Case Study - Applying Machine Learning to Create the 'absenteeism_module'/11. Backward Elimination or How to Simplify Your Model.mp4
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59. Case Study - Applying Machine Learning to Create the 'absenteeism_module'/11. Backward Elimination or How to Simplify Your Model.srt
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59. Case Study - Applying Machine Learning to Create the 'absenteeism_module'/11.1 Logistic Regression prior to Backward Elimination.html
226B
59. Case Study - Applying Machine Learning to Create the 'absenteeism_module'/12. Testing the Model We Created.mp4
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59. Case Study - Applying Machine Learning to Create the 'absenteeism_module'/14. ARTICLE - A Note on 'pickling'.html
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59. Case Study - Applying Machine Learning to Create the 'absenteeism_module'/15. EXERCISE - Saving the Model (and Scaler).html
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59. Case Study - Applying Machine Learning to Create the 'absenteeism_module'/15.1 Logistic Regression.html
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61. Case Study - Analyzing the Predicted Outputs in Tableau/4. Analyzing Reasons vs Probability in Tableau.mp4
59.34MB
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61. Case Study - Analyzing the Predicted Outputs in Tableau/4. Analyzing Reasons vs Probability in Tableau.srt
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61. Case Study - Analyzing the Predicted Outputs in Tableau/5. EXERCISE - Transportation Expense vs Probability.html
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61. Case Study - Analyzing the Predicted Outputs in Tableau/6. Analyzing Transportation Expense vs Probability in Tableau.mp4
40.63MB
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61. Case Study - Analyzing the Predicted Outputs in Tableau/6. Analyzing Transportation Expense vs Probability in Tableau.srt
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62. Bonus Lecture/1. Bonus Lecture Next Steps.html
2.53KB
7. The Field of Data Science - Careers in Data Science/1. Finding the Job - What to Expect and What to Look for.mp4
54.38MB
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7. The Field of Data Science - Careers in Data Science/2. Finding the Job - What to Expect and What to Look for.html
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8. The Field of Data Science - Debunking Common Misconceptions/1. Debunking Common Misconceptions.mp4
72.86MB
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8. The Field of Data Science - Debunking Common Misconceptions/2. Debunking Common Misconceptions.html
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9. Part 2 Probability/1. The Basic Probability Formula.mp4
85.92MB
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9. Part 2 Probability/1. The Basic Probability Formula.srt
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9. Part 2 Probability/1.1 Course Notes - Basic Probability.pdf
371.05KB
9. Part 2 Probability/2. The Basic Probability Formula.html
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9. Part 2 Probability/3. Computing Expected Values.mp4
75.68MB
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9. Part 2 Probability/5. Frequency.mp4
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9. Part 2 Probability/6. Frequency.html
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9. Part 2 Probability/7. Events and Their Complements.mp4
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[DesireCourse.Net].url
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