| Parent directory/ | - | - |
| 1.1 Course Resources.html | 122 B | 2024-Jul-11 09:20 |
| 31. Python Conditional Statement Coding Exercise.html | 156 B | 2024-Jul-11 09:21 |
| 33. Download the Complete Notebook Here.html | 242 B | 2024-Jul-11 09:21 |
| 13. A Note for the Next Lesson.html | 476 B | 2024-Jul-11 09:20 |
| 34. Any Feedback on this Section.html | 512 B | 2024-Jul-11 09:21 |
| 33.2 04 Valuation Tool.ipynb.zip | 2.9 KiB | 2024-Jul-11 09:21 |
| 33.3 boston_valuation.py | 3.1 KiB | 2024-Jul-11 09:21 |
| 19. Introduction to Model Evaluation.srt | 3.8 KiB | 2024-Jul-11 09:20 |
| 18. How to Calculate the Model Fit with R-Squared.srt | 4.4 KiB | 2024-Jul-11 09:20 |
| 1. Defining the Problem.srt | 6.5 KiB | 2024-Jul-11 09:20 |
| 15. Understanding Multivariable Regression.srt | 7.5 KiB | 2024-Jul-11 09:20 |
| 9. Introduction to Correlation Understanding Strength & Direction.srt | 8.4 KiB | 2024-Jul-11 09:21 |
| 2. Gathering the Boston House Price Data.srt | 8.7 KiB | 2024-Jul-11 09:20 |
| 6. Visualising Data (Part 2) Seaborn and Probability Density Functions.srt | 9.0 KiB | 2024-Jul-11 09:21 |
| 17. Running a Multivariable Regression.srt | 9.8 KiB | 2024-Jul-11 09:20 |
| 21. How to Interpret Coefficients using p-Values and Statistical Significance.srt | 10.8 KiB | 2024-Jul-11 09:20 |
| 16. How to Shuffle and Split Training & Testing Data.srt | 11.5 KiB | 2024-Jul-11 09:20 |
| 8. Understanding Descriptive Statistics the Mean vs the Median.srt | 12.1 KiB | 2024-Jul-11 09:21 |
| 5. Visualising Data (Part 1) Historams, Distributions & Outliers.srt | 14.2 KiB | 2024-Jul-11 09:21 |
| 24. How to Analyse and Plot Regression Residuals.srt | 14.8 KiB | 2024-Jul-11 09:20 |
| 28. Making Predictions (Part 2) Standard Deviation, RMSE, and Prediction Intervals.srt | 14.8 KiB | 2024-Jul-11 09:20 |
| 3. Clean and Explore the Data (Part 1) Understand the Nature of the Dataset.srt | 15.6 KiB | 2024-Jul-11 09:20 |
| 10. Calculating Correlations and the Problem posed by Multicollinearity.srt | 17.8 KiB | 2024-Jul-11 09:20 |
| 25. Residual Analysis (Part 1) Predicted vs Actual Values.srt | 18.2 KiB | 2024-Jul-11 09:20 |
| 4. Clean and Explore the Data (Part 2) Find Missing Values.srt | 18.6 KiB | 2024-Jul-11 09:21 |
| 12. Techniques to Style Scatter Plots.srt | 20.6 KiB | 2024-Jul-11 09:20 |
| 7. Working with Index Data, Pandas Series, and Dummy Variables.srt | 20.7 KiB | 2024-Jul-11 09:21 |
| 29. Build a Valuation Tool (Part 1) Working with Pandas Series & Numpy ndarrays.srt | 20.8 KiB | 2024-Jul-11 09:20 |
| 30. [Python] - Conditional Statements - Build a Valuation Tool (Part 2).srt | 21.4 KiB | 2024-Jul-11 09:21 |
| 20. Improving the Model by Transforming the Data.srt | 21.6 KiB | 2024-Jul-11 09:20 |
| 26. Residual Analysis (Part 2) Graphing and Comparing Regression Residuals.srt | 22.8 KiB | 2024-Jul-11 09:20 |
| 23. Model Simplification & Baysian Information Criterion.srt | 23.1 KiB | 2024-Jul-11 09:20 |
| 27. Making Predictions (Part 1) MSE & R-Squared.srt | 23.7 KiB | 2024-Jul-11 09:20 |
| 11. Visualising Correlations with a Heatmap.srt | 24.4 KiB | 2024-Jul-11 09:20 |
| 22. Understanding VIF & Testing for Multicollinearity.srt | 25.6 KiB | 2024-Jul-11 09:20 |
| 32. Build a Valuation Tool (Part 3) Docstrings & Creating your own Python Module.srt | 28.4 KiB | 2024-Jul-11 09:21 |
| 14. Working with Seaborn Pairplots & Jupyter Microbenchmarking Techniques.srt | 28.7 KiB | 2024-Jul-11 09:20 |
| 33.1 04 Multivariable Regression.ipynb.zip | 3.5 MiB | 2024-Jul-11 09:21 |
| 19. Introduction to Model Evaluation.mp4 | 16.0 MiB | 2024-Jul-11 09:20 |
| 18. How to Calculate the Model Fit with R-Squared.mp4 | 32.4 MiB | 2024-Jul-11 09:20 |
| 9. Introduction to Correlation Understanding Strength & Direction.mp4 | 33.1 MiB | 2024-Jul-11 09:21 |
| 1. Defining the Problem.mp4 | 39.9 MiB | 2024-Jul-11 09:20 |
| 15. Understanding Multivariable Regression.mp4 | 48.8 MiB | 2024-Jul-11 09:20 |
| 17. Running a Multivariable Regression.mp4 | 55.6 MiB | 2024-Jul-11 09:20 |
| 2. Gathering the Boston House Price Data.mp4 | 56.2 MiB | 2024-Jul-11 09:20 |
| 6. Visualising Data (Part 2) Seaborn and Probability Density Functions.mp4 | 57.3 MiB | 2024-Jul-11 09:21 |
| 8. Understanding Descriptive Statistics the Mean vs the Median.mp4 | 62.2 MiB | 2024-Jul-11 09:21 |
| 24. How to Analyse and Plot Regression Residuals.mp4 | 64.2 MiB | 2024-Jul-11 09:20 |
| 16. How to Shuffle and Split Training & Testing Data.mp4 | 64.3 MiB | 2024-Jul-11 09:20 |
| 5. Visualising Data (Part 1) Historams, Distributions & Outliers.mp4 | 64.5 MiB | 2024-Jul-11 09:21 |
| 21. How to Interpret Coefficients using p-Values and Statistical Significance.mp4 | 65.4 MiB | 2024-Jul-11 09:20 |
| 28. Making Predictions (Part 2) Standard Deviation, RMSE, and Prediction Intervals.mp4 | 84.8 MiB | 2024-Jul-11 09:20 |
| 3. Clean and Explore the Data (Part 1) Understand the Nature of the Dataset.mp4 | 87.1 MiB | 2024-Jul-11 09:20 |
| 10. Calculating Correlations and the Problem posed by Multicollinearity.mp4 | 111.4 MiB | 2024-Jul-11 09:20 |
| 25. Residual Analysis (Part 1) Predicted vs Actual Values.mp4 | 124.4 MiB | 2024-Jul-11 09:20 |
| 20. Improving the Model by Transforming the Data.mp4 | 126.9 MiB | 2024-Jul-11 09:20 |
| 12. Techniques to Style Scatter Plots.mp4 | 128.5 MiB | 2024-Jul-11 09:20 |
| 29. Build a Valuation Tool (Part 1) Working with Pandas Series & Numpy ndarrays.mp4 | 131.3 MiB | 2024-Jul-11 09:20 |
| 30. [Python] - Conditional Statements - Build a Valuation Tool (Part 2).mp4 | 134.4 MiB | 2024-Jul-11 09:21 |
| 4. Clean and Explore the Data (Part 2) Find Missing Values.mp4 | 135.0 MiB | 2024-Jul-11 09:21 |
| 7. Working with Index Data, Pandas Series, and Dummy Variables.mp4 | 140.8 MiB | 2024-Jul-11 09:21 |
| 22. Understanding VIF & Testing for Multicollinearity.mp4 | 143.8 MiB | 2024-Jul-11 09:20 |
| 23. Model Simplification & Baysian Information Criterion.mp4 | 150.1 MiB | 2024-Jul-11 09:20 |
| 27. Making Predictions (Part 1) MSE & R-Squared.mp4 | 152.7 MiB | 2024-Jul-11 09:20 |
| 26. Residual Analysis (Part 2) Graphing and Comparing Regression Residuals.mp4 | 153.0 MiB | 2024-Jul-11 09:20 |
| 11. Visualising Correlations with a Heatmap.mp4 | 168.6 MiB | 2024-Jul-11 09:20 |
| 14. Working with Seaborn Pairplots & Jupyter Microbenchmarking Techniques.mp4 | 214.4 MiB | 2024-Jul-11 09:20 |
| 32. Build a Valuation Tool (Part 3) Docstrings & Creating your own Python Module.mp4 | 244.2 MiB | 2024-Jul-11 09:21 |