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1. Part 1 Introduction/2. What Does the Course Cover.mp4
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1. Part 1 Introduction/3. Download All Resources and Important FAQ.html
20.77KB
1. Part 1 Introduction/3.1 Download All Resources.html
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1. Part 1 Introduction/3.2 FAQ_The_Data_Science_Course.pdf.pdf
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10. Combinatorics/1. Fundamentals of Combinatorics.mp4
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10. Combinatorics/1.1 Course Notes - Combinatorics.pdf.pdf
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10. Combinatorics/11. Solving Combinations.mp4
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10. Combinatorics/11.1 Combinations With Repetition.pdf.pdf
207.41KB
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10. Combinatorics/13. Symmetry of Combinations.mp4
38.69MB
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10. Combinatorics/15. Solving Combinations with Separate Sample Spaces.mp4
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10. Combinatorics/17. Combinatorics in Real-Life The Lottery.mp4
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11. Bayesian Inference/11. Dependence and Independence of Sets.mp4
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15. Statistics - Descriptive Statistics/8. Numerical Variables - Frequency Distribution Table.mp4
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17. Statistics - Inferential Statistics Fundamentals/1. Introduction.mp4
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17. Statistics - Inferential Statistics Fundamentals/9. Central Limit Theorem.mp4
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22. Part 4 Introduction to Python/1. Introduction to Programming.vtt
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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/3. Why Python.mp4
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24. Python - Basic Python Syntax/9. Understanding Line Continuation.mp4
2.35MB
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24. Python - Basic Python Syntax/9. Understanding Line Continuation.vtt
1KB
24. Python - Basic Python Syntax/9.1 Line Continuation - Resources.html
134B
25. Python - Other Python Operators/1. Comparison Operators.mp4
10.18MB
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25. Python - Other Python Operators/1. Comparison Operators.vtt
2.14KB
25. Python - Other Python Operators/1.1 Comparison Operators - Resources.html
134B
25. Python - Other Python Operators/2. Comparison Operators.html
158B
25. Python - Other Python Operators/3. Logical and Identity Operators.mp4
30.06MB
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25. Python - Other Python Operators/3. Logical and Identity Operators.vtt
4.99KB
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
158B
26. Python - Conditional Statements/1. The IF Statement.mp4
13.63MB
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26. Python - Conditional Statements/1. The IF Statement.vtt
3.12KB
26. Python - Conditional Statements/1.1 Introduction to the If Statement - Resources.html
134B
26. Python - Conditional Statements/2. The IF Statement.html
158B
26. Python - Conditional Statements/3. The ELSE Statement.mp4
13.58MB
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26. Python - Conditional Statements/3. The ELSE Statement.vtt
2.45KB
26. Python - Conditional Statements/3.1 Add an Else Statement - Resources.html
134B
26. Python - Conditional Statements/4. The ELIF Statement.mp4
33.16MB
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26. Python - Conditional Statements/4. The ELIF Statement.vtt
5.75KB
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
11.25MB
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26. Python - Conditional Statements/5. A Note on Boolean Values.vtt
2.55KB
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
158B
27. Python - Python Functions/1. Defining a Function in Python.mp4
7.75MB
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27. Python - Python Functions/1. Defining a Function in Python.vtt
2.2KB
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
23.88MB
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27. Python - Python Functions/2. How to Create a Function with a Parameter.vtt
3.78KB
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
14.79MB
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27. Python - Python Functions/3. Defining a Function in Python - Part II.vtt
2.7KB
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.vtt
1.78KB
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.vtt
3.05KB
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
7.58MB
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27. Python - Python Functions/6. Functions Containing a Few Arguments.vtt
1.13KB
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.vtt
3.68KB
27. Python - Python Functions/7.1 Notable Built-In Functions in Python - Resources.html
134B
27. Python - Python Functions/8. Python Functions.html
158B
28. Python - Sequences/1. Lists.mp4
21.99MB
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28. Python - Sequences/1. Lists.vtt
4.3KB
28. Python - Sequences/1.1 Lists - Resources.html
134B
28. Python - Sequences/2. Lists.html
158B
28. Python - Sequences/3. Using Methods.mp4
21.96MB
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28. Python - Sequences/3. Using Methods.vtt
3.47KB
28. Python - Sequences/3.1 Help Yourself with Methods - Resources.html
134B
28. Python - Sequences/4. Using Methods.html
158B
28. Python - Sequences/5. List Slicing.mp4
30.77MB
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4.83KB
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134B
28. Python - Sequences/6. Tuples.mp4
16.68MB
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2.96KB
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134B
28. Python - Sequences/7. Dictionaries.mp4
25.04MB
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3.63KB
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134B
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158B
29. Python - Iterations/1. For Loops.mp4
11.79MB
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2.44KB
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134B
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158B
29. Python - Iterations/3. While Loops and Incrementing.mp4
15.45MB
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2.42KB
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134B
29. Python - Iterations/4. Lists with the range() Function.mp4
11.43MB
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2.45KB
29. Python - Iterations/4.1 Create Lists with the range() Function - Resources.html
134B
29. Python - Iterations/5. Lists with the range() Function.html
158B
29. Python - Iterations/6. Conditional Statements and Loops.mp4
16.1MB
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3.15KB
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134B
29. Python - Iterations/7. Conditional Statements, Functions, and Loops.mp4
9.49MB
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2.09KB
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134B
29. Python - Iterations/8. How to Iterate over Dictionaries.mp4
16.99MB
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29. Python - Iterations/8. How to Iterate over Dictionaries.vtt
3.34KB
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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
126.88MB
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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.vtt
7.9KB
3. The Field of Data Science - Connecting the Data Science Disciplines/2. Applying Traditional Data, Big Data, BI, Traditional Data Science and ML.html
158B
30. Python - Advanced Python Tools/1. Object Oriented Programming.mp4
33.59MB
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30. Python - Advanced Python Tools/1. Object Oriented Programming.vtt
5.34KB
30. Python - Advanced Python Tools/2. Object Oriented Programming.html
158B
30. Python - Advanced Python Tools/3. Modules and Packages.mp4
8.51MB
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1.13KB
30. Python - Advanced Python Tools/4. Modules and Packages.html
158B
30. Python - Advanced Python Tools/5. What is the Standard Library.mp4
18.04MB
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3.15KB
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158B
30. Python - Advanced Python Tools/7. Importing Modules in Python.mp4
19.93MB
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4.17KB
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158B
31. Part 5 Advanced Statistical Methods in Python/1. Introduction to Regression Analysis.mp4
17.32MB
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1.95KB
31. Part 5 Advanced Statistical Methods in Python/2. Introduction to Regression Analysis.html
158B
32. Advanced Statistical Methods - Linear regression with StatsModels/1. The Linear Regression Model.mp4
57.37MB
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32. Advanced Statistical Methods - Linear regression with StatsModels/1. The Linear Regression Model.vtt
6.14KB
32. Advanced Statistical Methods - Linear regression with StatsModels/10. Using Seaborn for Graphs.mp4
12.25MB
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5.5KB
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158B
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41.04MB
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5.79KB
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158B
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1.82KB
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1.45KB
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158B
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40.59MB
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44.57MB
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6.91KB
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1.33KB
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134B
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21.53MB
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2.93KB
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158B
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35.68MB
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4.58KB
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158B
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42.71MB
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31.52MB
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4.27KB
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4.04KB
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134B
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158B
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24.7MB
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3.87KB
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134B
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54.83MB
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6.57KB
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158B
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16.43MB
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2.23KB
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2.67KB
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158B
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27.26MB
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5.85KB
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372B
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134B
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12.31MB
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2.62KB
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134B
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76B
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134B
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6.77KB
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134B
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34.9MB
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6.41KB
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134B
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25.97MB
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4.9KB
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134B
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76B
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134B
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16.96MB
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8.35KB
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134B
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19.42MB
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34.78MB
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32.01MB
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5.86KB
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76B
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134B
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20.07MB
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3.67KB
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36. Advanced Statistical Methods - Logistic Regression/8. Understanding Logistic Regression Tables - Exercise.html
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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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37. Advanced Statistical Methods - Cluster Analysis/2. Some Examples of Clusters.mp4
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38. Advanced Statistical Methods - K-Means Clustering/1. K-Means Clustering.mp4
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38. Advanced Statistical Methods - K-Means Clustering/10. Relationship between Clustering and Regression.mp4
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38. Advanced Statistical Methods - K-Means Clustering/11. Market Segmentation with Cluster Analysis (Part 1).mp4
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38. Advanced Statistical Methods - K-Means Clustering/13. How is Clustering Useful.vtt
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38. Advanced Statistical Methods - K-Means Clustering/2. A Simple Example of Clustering.mp4
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38. Advanced Statistical Methods - K-Means Clustering/8. Pros and Cons of K-Means Clustering.mp4
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38. Advanced Statistical Methods - K-Means Clustering/9. To Standardize or not to Standardize.mp4
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38. Advanced Statistical Methods - K-Means Clustering/9. To Standardize or not to Standardize.vtt
5.14KB
39. Advanced Statistical Methods - Other Types of Clustering/1. Types of Clustering.mp4
44.57MB
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39. Advanced Statistical Methods - Other Types of Clustering/1. Types of Clustering.vtt
4.12KB
39. Advanced Statistical Methods - Other Types of Clustering/2. Dendrogram.mp4
29.07MB
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6.41KB
39. Advanced Statistical Methods - Other Types of Clustering/3. Heatmaps.mp4
29.63MB
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39. Advanced Statistical Methods - Other Types of Clustering/3. Heatmaps.vtt
5.47KB
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134B
4. The Field of Data Science - The Benefits of Each Discipline/1. The Reason behind these Disciplines.mp4
81.18MB
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4. The Field of Data Science - The Benefits of Each Discipline/1. The Reason behind these Disciplines.vtt
5.69KB
4. The Field of Data Science - The Benefits of Each Discipline/2. The Reason behind these Disciplines.html
158B
40. Part 6 Mathematics/1. What is a matrix.mp4
33.59MB
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3.8KB
40. Part 6 Mathematics/10. Addition and Subtraction of Matrices.mp4
32.62MB
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40. Part 6 Mathematics/10. Addition and Subtraction of Matrices.vtt
3.48KB
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
158B
40. Part 6 Mathematics/12. Errors when Adding Matrices.mp4
11.18MB
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40. Part 6 Mathematics/12. Errors when Adding Matrices.vtt
2.27KB
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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40. Part 6 Mathematics/13. Transpose of a Matrix.vtt
4.69KB
40. Part 6 Mathematics/13.1 Transpose of a Matrix Python Notebook.html
167B
40. Part 6 Mathematics/14. Dot Product.mp4
24MB
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40. Part 6 Mathematics/14. Dot Product.vtt
3.68KB
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154B
40. Part 6 Mathematics/15. Dot Product of Matrices.mp4
49.43MB
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40. Part 6 Mathematics/15. Dot Product of Matrices.vtt
8.22KB
40. Part 6 Mathematics/15.1 Dot Product of Matrices Python Notebook.html
171B
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.vtt
10.31KB
40. Part 6 Mathematics/2. What is a Matrix.html
158B
40. Part 6 Mathematics/3. Scalars and Vectors.mp4
33.85MB
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40. Part 6 Mathematics/3. Scalars and Vectors.vtt
3.3KB
40. Part 6 Mathematics/4. Scalars and Vectors.html
158B
40. Part 6 Mathematics/5. Linear Algebra and Geometry.mp4
49.8MB
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40. Part 6 Mathematics/5. Linear Algebra and Geometry.vtt
3.54KB
40. Part 6 Mathematics/6. Linear Algebra and Geometry.html
158B
40. Part 6 Mathematics/7. Arrays in Python - A Convenient Way To Represent Matrices.mp4
26.68MB
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40. Part 6 Mathematics/7. Arrays in Python - A Convenient Way To Represent Matrices.vtt
5.31KB
40. Part 6 Mathematics/7.1 Arrays in Python Notebook.html
181B
40. Part 6 Mathematics/8. What is a Tensor.mp4
22.53MB
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40. Part 6 Mathematics/8. What is a Tensor.vtt
3.17KB
40. Part 6 Mathematics/8.1 Tensors Notebook.html
148B
40. Part 6 Mathematics/9. What is a Tensor.html
158B
41. Part 7 Deep Learning/1. What to Expect from this Part.mp4
31.11MB
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41. Part 7 Deep Learning/1. What to Expect from this Part.vtt
4.05KB
41. Part 7 Deep Learning/2. What is Machine Learning.html
158B
42. Deep Learning - Introduction to Neural Networks/1. Introduction to Neural Networks.mp4
42.93MB
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42. Deep Learning - Introduction to Neural Networks/1. Introduction to Neural Networks.vtt
5.18KB
42. Deep Learning - Introduction to Neural Networks/1.1 Course Notes - Section 2.pdf.pdf
578.08KB
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46. Deep Learning - Overfitting/2. Underfitting and Overfitting for Classification.mp4
25.08MB
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46. Deep Learning - Overfitting/2. Underfitting and Overfitting for Classification.vtt
2.31KB
46. Deep Learning - Overfitting/3. What is Validation.mp4
32.71MB
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46. Deep Learning - Overfitting/3. What is Validation.vtt
4.27KB
46. Deep Learning - Overfitting/4. Training, Validation, and Test Datasets.mp4
25.2MB
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46. Deep Learning - Overfitting/4. Training, Validation, and Test Datasets.vtt
3.11KB
46. Deep Learning - Overfitting/5. N-Fold Cross Validation.mp4
20.71MB
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46. Deep Learning - Overfitting/5. N-Fold Cross Validation.vtt
3.67KB
46. Deep Learning - Overfitting/6. Early Stopping or When to Stop Training.mp4
24.18MB
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6.01KB
47. Deep Learning - Initialization/1. What is Initialization.mp4
21.77MB
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47. Deep Learning - Initialization/1. What is Initialization.vtt
3.09KB
47. Deep Learning - Initialization/2. Types of Simple Initializations.mp4
14.32MB
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3.23KB
47. Deep Learning - Initialization/3. State-of-the-Art Method - (Xavier) Glorot Initialization.mp4
17.15MB
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47. Deep Learning - Initialization/3. State-of-the-Art Method - (Xavier) Glorot Initialization.vtt
3.24KB
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.vtt
4.18KB
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.vtt
2.5KB
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.vtt
3.04KB
48. Deep Learning - Digging into Gradient Descent and Learning Rate Schedules/4. Learning Rate Schedules, or How to Choose the Optimal Learning Rate.mp4
29.08MB
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48. Deep Learning - Digging into Gradient Descent and Learning Rate Schedules/4. Learning Rate Schedules, or How to Choose the Optimal Learning Rate.vtt
5.22KB
48. Deep Learning - Digging into Gradient Descent and Learning Rate Schedules/5. Learning Rate Schedules Visualized.mp4
9.11MB
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48. Deep Learning - Digging into Gradient Descent and Learning Rate Schedules/5. Learning Rate Schedules Visualized.vtt
1.9KB
48. Deep Learning - Digging into Gradient Descent and Learning Rate Schedules/6. Adaptive Learning Rate Schedules (AdaGrad and RMSprop ).mp4
26.36MB
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48. Deep Learning - Digging into Gradient Descent and Learning Rate Schedules/6. Adaptive Learning Rate Schedules (AdaGrad and RMSprop ).vtt
4.57KB
48. Deep Learning - Digging into Gradient Descent and Learning Rate Schedules/7. Adam (Adaptive Moment Estimation).mp4
22.36MB
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48. Deep Learning - Digging into Gradient Descent and Learning Rate Schedules/7. Adam (Adaptive Moment Estimation).vtt
2.92KB
49. Deep Learning - Preprocessing/1. Preprocessing Introduction.mp4
27.79MB
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49. Deep Learning - Preprocessing/1. Preprocessing Introduction.vtt
3.39KB
49. Deep Learning - Preprocessing/2. Types of Basic Preprocessing.mp4
11.85MB
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49. Deep Learning - Preprocessing/2. Types of Basic Preprocessing.vtt
1.46KB
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50.99MB
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51. Deep Learning - Business Case Example/8. Business Case Optimization.mp4
41.53MB
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51. Deep Learning - Business Case Example/8. Business Case Optimization.vtt
5.76KB
51. Deep Learning - Business Case Example/8.1 TensorFlow Business Case Optimization.html
134B
51. Deep Learning - Business Case Example/9. Business Case Interpretation.mp4
25.75MB
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51. Deep Learning - Business Case Example/9. Business Case Interpretation.vtt
2.6KB
51. Deep Learning - Business Case Example/9.1 TensorFlow Business Case Interpretation.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.vtt
4.61KB
52. Deep Learning - Conclusion/2. What's Further out there in terms of Machine Learning.mp4
20.13MB
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2.27KB
52. Deep Learning - Conclusion/3. An overview of CNNs.mp4
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52. Deep Learning - Conclusion/3. An overview of CNNs.vtt
5.66KB
52. Deep Learning - Conclusion/4. DeepMind and Deep Learning.html
1.05KB
52. Deep Learning - Conclusion/5. An Overview of RNNs.mp4
25.27MB
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52. Deep Learning - Conclusion/5. An Overview of RNNs.vtt
3.3KB
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.vtt
4.56KB
52. Deep Learning - Conclusion/7. Download All Resources.html
458B
53. Software Integration/1. What are Data, Servers, Clients, Requests, and Responses.mp4
69.04MB
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5.2KB
53. Software Integration/10. Software Integration - Explained.html
158B
53. Software Integration/2. What are Data, Servers, Clients, Requests, and Responses.html
158B
53. Software Integration/3. What are Data Connectivity, APIs, and Endpoints.mp4
104.08MB
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53. Software Integration/5. Taking a Closer Look at APIs.mp4
115.6MB
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53. Software Integration/5. Taking a Closer Look at APIs.vtt
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158B
53. Software Integration/7. Communication between Software Products through Text Files.mp4
60.35MB
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158B
53. Software Integration/9. Software Integration - Explained.mp4
72.65MB
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53. Software Integration/9. Software Integration - Explained.vtt
6KB
54. Case Study - What's Next in the Course/1. Game Plan for this Python, SQL, and Tableau Business Exercise.mp4
52.31MB
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54. Case Study - What's Next in the Course/2. The Business Task.mp4
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54. Case Study - What's Next in the Course/3. Introducing the Data Set.mp4
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3.66KB
54. Case Study - What's Next in the Course/4. Introducing the Data Set.html
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55. Case Study - Preprocessing the 'Absenteeism_data'/1. What to Expect from the Following Sections.html
2.48KB
55. Case Study - Preprocessing the 'Absenteeism_data'/1.1 data_preprocessing_homework.pdf.pdf
134.47KB
55. Case Study - Preprocessing the 'Absenteeism_data'/1.2 df_preprocessed.csv.csv
29.11KB
55. Case Study - Preprocessing the 'Absenteeism_data'/1.3 Absenteeism_data.csv.csv
32.05KB
55. Case Study - Preprocessing the 'Absenteeism_data'/10. Analyzing the Reasons for Absence.mp4
40.57MB
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55. Case Study - Preprocessing the 'Absenteeism_data'/10. Analyzing the Reasons for Absence.vtt
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55. Case Study - Preprocessing the 'Absenteeism_data'/11. Obtaining Dummies from a Single Feature.mp4
81.12MB
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55. Case Study - Preprocessing the 'Absenteeism_data'/11. Obtaining Dummies from a Single Feature.vtt
8.96KB
55. Case Study - Preprocessing the 'Absenteeism_data'/12. EXERCISE - Obtaining Dummies from a Single Feature.html
129B
55. Case Study - Preprocessing the 'Absenteeism_data'/13. SOLUTION - Obtaining Dummies from a Single Feature.html
116B
55. Case Study - Preprocessing the 'Absenteeism_data'/14. Dropping a Dummy Variable from the Data Set.html
2.34KB
55. Case Study - Preprocessing the 'Absenteeism_data'/15. More on Dummy Variables A Statistical Perspective.mp4
13.75MB
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55. Case Study - Preprocessing the 'Absenteeism_data'/15. More on Dummy Variables A Statistical Perspective.vtt
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55. Case Study - Preprocessing the 'Absenteeism_data'/16. Classifying the Various Reasons for Absence.mp4
74.6MB
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55. Case Study - Preprocessing the 'Absenteeism_data'/16. Classifying the Various Reasons for Absence.vtt
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55. Case Study - Preprocessing the 'Absenteeism_data'/17. Using .concat() in Python.mp4
38.73MB
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55. Case Study - Preprocessing the 'Absenteeism_data'/17. Using .concat() in Python.vtt
4.42KB
55. Case Study - Preprocessing the 'Absenteeism_data'/18. EXERCISE - Using .concat() in Python.html
189B
55. Case Study - Preprocessing the 'Absenteeism_data'/19. SOLUTION - Using .concat() in Python.html
142B
55. Case Study - Preprocessing the 'Absenteeism_data'/2. Importing the Absenteeism Data in Python.mp4
23.16MB
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55. Case Study - Preprocessing the 'Absenteeism_data'/2. Importing the Absenteeism Data in Python.vtt
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55. Case Study - Preprocessing the 'Absenteeism_data'/20. Reordering Columns in a Pandas DataFrame in Python.mp4
14.02MB
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55. Case Study - Preprocessing the 'Absenteeism_data'/20. Reordering Columns in a Pandas DataFrame in Python.vtt
1.61KB
55. Case Study - Preprocessing the 'Absenteeism_data'/21. EXERCISE - Reordering Columns in a Pandas DataFrame in Python.html
167B
55. Case Study - Preprocessing the 'Absenteeism_data'/22. SOLUTION - Reordering Columns in a Pandas DataFrame in Python.html
462B
55. Case Study - Preprocessing the 'Absenteeism_data'/23. Creating Checkpoints while Coding in Jupyter.mp4
25.67MB
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55. Case Study - Preprocessing the 'Absenteeism_data'/23. Creating Checkpoints while Coding in Jupyter.vtt
3.21KB
55. Case Study - Preprocessing the 'Absenteeism_data'/23.1 Creating Checkpoints.html
181B
55. Case Study - Preprocessing the 'Absenteeism_data'/24. EXERCISE - Creating Checkpoints while Coding in Jupyter.html
137B
55. Case Study - Preprocessing the 'Absenteeism_data'/25. SOLUTION - Creating Checkpoints while Coding in Jupyter.html
117B
55. Case Study - Preprocessing the 'Absenteeism_data'/26. Analyzing the Dates from the Initial Data Set.mp4
57.29MB
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55. Case Study - Preprocessing the 'Absenteeism_data'/26. Analyzing the Dates from the Initial Data Set.vtt
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55. Case Study - Preprocessing the 'Absenteeism_data'/27. Extracting the Month Value from the Date Column.mp4
47.8MB
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55. Case Study - Preprocessing the 'Absenteeism_data'/27. Extracting the Month Value from the Date Column.vtt
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55. Case Study - Preprocessing the 'Absenteeism_data'/28. Extracting the Day of the Week from the Date Column.mp4
27.97MB
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55. Case Study - Preprocessing the 'Absenteeism_data'/28. Extracting the Day of the Week from the Date Column.vtt
3.91KB
55. Case Study - Preprocessing the 'Absenteeism_data'/29. EXERCISE - Removing the Date Column.html
1.21KB
55. Case Study - Preprocessing the 'Absenteeism_data'/29.1 Preprocessing.html
181B
55. Case Study - Preprocessing the 'Absenteeism_data'/29.2 Removing the “Date” Column.html
188B
55. Case Study - Preprocessing the 'Absenteeism_data'/3. Checking the Content of the Data Set.mp4
61.91MB
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55. Case Study - Preprocessing the 'Absenteeism_data'/3. Checking the Content of the Data Set.vtt
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55. Case Study - Preprocessing the 'Absenteeism_data'/30. Analyzing Several Straightforward Columns for this Exercise.mp4
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55. Case Study - Preprocessing the 'Absenteeism_data'/30. Analyzing Several Straightforward Columns for this Exercise.vtt
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55. Case Study - Preprocessing the 'Absenteeism_data'/31. Working on Education, Children, and Pets.mp4
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55. Case Study - Preprocessing the 'Absenteeism_data'/31. Working on Education, Children, and Pets.vtt
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55. Case Study - Preprocessing the 'Absenteeism_data'/32. Final Remarks of this Section.mp4
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55. Case Study - Preprocessing the 'Absenteeism_data'/32. Final Remarks of this Section.vtt
21.64MB
55. Case Study - Preprocessing the 'Absenteeism_data'/32.1 Exercises and solutions.html
170B
55. Case Study - Preprocessing the 'Absenteeism_data'/32.2 Preprocessing.html
156B
55. Case Study - Preprocessing the 'Absenteeism_data'/4. Introduction to Terms with Multiple Meanings.mp4
27.85MB
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55. Case Study - Preprocessing the 'Absenteeism_data'/4. Introduction to Terms with Multiple Meanings.vtt
3.6KB
55. Case Study - Preprocessing the 'Absenteeism_data'/5. What's Regression Analysis - a Quick Refresher.html
2.84KB
55. Case Study - Preprocessing the 'Absenteeism_data'/6. Using a Statistical Approach towards the Solution to the Exercise.mp4
20.19MB
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55. Case Study - Preprocessing the 'Absenteeism_data'/6. Using a Statistical Approach towards the Solution to the Exercise.vtt
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55. Case Study - Preprocessing the 'Absenteeism_data'/7. Dropping a Column from a DataFrame in Python.mp4
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55. Case Study - Preprocessing the 'Absenteeism_data'/7. Dropping a Column from a DataFrame in Python.vtt
6.81KB
55. Case Study - Preprocessing the 'Absenteeism_data'/8. EXERCISE - Dropping a Column from a DataFrame in Python.html
866B
55. Case Study - Preprocessing the 'Absenteeism_data'/9. SOLUTION - Dropping a Column from a DataFrame in Python.html
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56. Case Study - Applying Machine Learning to Create the 'absenteeism_module'/1. Exploring the Problem with a Machine Learning Mindset.mp4
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56. Case Study - Applying Machine Learning to Create the 'absenteeism_module'/1. Exploring the Problem with a Machine Learning Mindset.vtt
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56. Case Study - Applying Machine Learning to Create the 'absenteeism_module'/1.1 Absenteeism_preprocessed.csv.csv
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56. Case Study - Applying Machine Learning to Create the 'absenteeism_module'/10. Interpreting the Coefficients of the Logistic Regression.mp4
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56. Case Study - Applying Machine Learning to Create the 'absenteeism_module'/10. Interpreting the Coefficients of the Logistic Regression.vtt
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56. Case Study - Applying Machine Learning to Create the 'absenteeism_module'/11. Backward Elimination or How to Simplify Your Model.mp4
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56. Case Study - Applying Machine Learning to Create the 'absenteeism_module'/11. Backward Elimination or How to Simplify Your Model.vtt
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56. Case Study - Applying Machine Learning to Create the 'absenteeism_module'/11.1 Logistic Regression prior to Backward Elimination.html
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56. Case Study - Applying Machine Learning to Create the 'absenteeism_module'/12. Testing the Model We Created.mp4
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56. Case Study - Applying Machine Learning to Create the 'absenteeism_module'/12. Testing the Model We Created.vtt
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56. Case Study - Applying Machine Learning to Create the 'absenteeism_module'/13. Saving the Model and Preparing it for Deployment.mp4
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56. Case Study - Applying Machine Learning to Create the 'absenteeism_module'/13. Saving the Model and Preparing it for Deployment.vtt
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56. Case Study - Applying Machine Learning to Create the 'absenteeism_module'/14. ARTICLE - A Note on 'pickling'.html
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56. Case Study - Applying Machine Learning to Create the 'absenteeism_module'/15. EXERCISE - Saving the Model (and Scaler).html
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56. Case Study - Applying Machine Learning to Create the 'absenteeism_module'/15.1 Logistic Regression.html
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56. Case Study - Applying Machine Learning to Create the 'absenteeism_module'/15.2 Logistic Regression with Comments.html
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56. Case Study - Applying Machine Learning to Create the 'absenteeism_module'/16. Preparing the Deployment of the Model through a Module.mp4
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56. Case Study - Applying Machine Learning to Create the 'absenteeism_module'/16. Preparing the Deployment of the Model through a Module.vtt
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56. Case Study - Applying Machine Learning to Create the 'absenteeism_module'/2. Creating the Targets for the Logistic Regression.mp4
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56. Case Study - Applying Machine Learning to Create the 'absenteeism_module'/2. Creating the Targets for the Logistic Regression.vtt
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56. Case Study - Applying Machine Learning to Create the 'absenteeism_module'/3. Selecting the Inputs for the Logistic Regression.mp4
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56. Case Study - Applying Machine Learning to Create the 'absenteeism_module'/3. Selecting the Inputs for the Logistic Regression.vtt
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56. Case Study - Applying Machine Learning to Create the 'absenteeism_module'/4. Standardizing the Data.mp4
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56. Case Study - Applying Machine Learning to Create the 'absenteeism_module'/4. Standardizing the Data.vtt
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56. Case Study - Applying Machine Learning to Create the 'absenteeism_module'/5. Splitting the Data for Training and Testing.mp4
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56. Case Study - Applying Machine Learning to Create the 'absenteeism_module'/5. Splitting the Data for Training and Testing.vtt
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56. Case Study - Applying Machine Learning to Create the 'absenteeism_module'/6. Fitting the Model and Assessing its Accuracy.mp4
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56. Case Study - Applying Machine Learning to Create the 'absenteeism_module'/6. Fitting the Model and Assessing its Accuracy.vtt
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56. Case Study - Applying Machine Learning to Create the 'absenteeism_module'/7. Creating a Summary Table with the Coefficients and Intercept.mp4
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56. Case Study - Applying Machine Learning to Create the 'absenteeism_module'/7. Creating a Summary Table with the Coefficients and Intercept.vtt
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56. Case Study - Applying Machine Learning to Create the 'absenteeism_module'/8. Interpreting the Coefficients for Our Problem.mp4
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56. Case Study - Applying Machine Learning to Create the 'absenteeism_module'/8. Interpreting the Coefficients for Our Problem.vtt
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56. Case Study - Applying Machine Learning to Create the 'absenteeism_module'/9. Standardizing only the Numerical Variables (Creating a Custom Scaler).mp4
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56. Case Study - Applying Machine Learning to Create the 'absenteeism_module'/9. Standardizing only the Numerical Variables (Creating a Custom Scaler).vtt
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56. Case Study - Applying Machine Learning to Create the 'absenteeism_module'/9.1 Logistic Regression prior to Custom Scaler.html
219B
57. Case Study - Loading the 'absenteeism_module'/1. Are You Sure You're All Set.html
519B
57. Case Study - Loading the 'absenteeism_module'/1.1 5 Files Needed to Deploy the Model.html
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57. Case Study - Loading the 'absenteeism_module'/2. Deploying the 'absenteeism_module' - Part I.mp4
25.48MB
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57. Case Study - Loading the 'absenteeism_module'/2. Deploying the 'absenteeism_module' - Part I.vtt
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57. Case Study - Loading the 'absenteeism_module'/3. Deploying the 'absenteeism_module' - Part II.mp4
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57. Case Study - Loading the 'absenteeism_module'/3. Deploying the 'absenteeism_module' - Part II.vtt
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57. Case Study - Loading the 'absenteeism_module'/4. Exporting the Obtained Data Set as a .csv.html
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57. Case Study - Loading the 'absenteeism_module'/4.1 Deploying the ‘absenteeism_module.html
185B
58. Case Study - Analyzing the Predicted Outputs in Tableau/1. EXERCISE - Age vs Probability.html
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58. Case Study - Analyzing the Predicted Outputs in Tableau/2. Analyzing Age vs Probability in Tableau.mp4
56.56MB
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58. Case Study - Analyzing the Predicted Outputs in Tableau/3. EXERCISE - Reasons vs Probability.html
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58. Case Study - Analyzing the Predicted Outputs in Tableau/4. Analyzing Reasons vs Probability in Tableau.mp4
59.33MB
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58. Case Study - Analyzing the Predicted Outputs in Tableau/5. EXERCISE - Transportation Expense vs Probability.html
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58. Case Study - Analyzing the Predicted Outputs in Tableau/6. Analyzing Transportation Expense vs Probability in Tableau.mp4
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6. The Field of Data Science - Popular Data Science Tools/1. Necessary Programming Languages and Software Used in Data Science.mp4
103.52MB
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6. The Field of Data Science - Popular Data Science Tools/2. Necessary Programming Languages and Software Used in Data Science.html
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7. The Field of Data Science - Careers in Data Science/1. Finding the Job - What to Expect and What to Look for.mp4
54.39MB
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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/1.1 Course Notes - Basic Probability.pdf.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
75.69MB
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9. Part 2 Probability/5. Frequency.mp4
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9. Part 2 Probability/5. Frequency.vtt
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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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[FreeCourseLab.com].url
126B