| 17. Logistic Regression/4. Case Study.mp4 | 198.2 MB |
| 7. Data Visualisation/2. Seaborn.mp4 | 184.74 MB |
| 15. Model Selection Part1/4. Gridsearch Case study Part2.mp4 | 178.88 MB |
| 7. Data Visualisation/1. Matplotlib.mp4 | 172.76 MB |
| 2. Numpy/3. Numpy Operations Part2.mp4 | 169.97 MB |
| 18. Support Vector Machine (SVM)/14. Case Study 4.mp4 | 164.41 MB |
| 4. Some Fun With Maths/1. Linear Algebra Vectors.mp4 | 162.41 MB |
| 23. Dimension Reduction/1. Introduction.mp4 | 156.68 MB |
| 20. Ensembling/16. Case Study Part1.mp4 | 141.54 MB |
| 9. Simple Linear Regression/7. LR Case Study Part1.mp4 | 137.5 MB |
| 26. Project Kaggle/2. Playing With The Data.mp4 | 137.05 MB |
| 20. Ensembling/17. Case Study Part2.mp4 | 136.7 MB |
| 26. Project Kaggle/17. Building Machine Learning model part2.mp4 | 135.18 MB |
| 10. Multiple Linear Regression/9. Case Study Part4.mp4 | 132.2 MB |
| 2. Numpy/2. Numpy Operations Part1.mp4 | 128.75 MB |
| 19. Decision Tree/9. DT Case Study Part1.mp4 | 125.45 MB |
| 15. Model Selection Part1/3. Gridsearch Case study Part1.mp4 | 124.24 MB |
| 26. Project Kaggle/16. Building Machine Learning model part1.mp4 | 124.01 MB |
| 23. Dimension Reduction/5. Case Study Part2.mp4 | 123.06 MB |
| 26. Project Kaggle/5. Train, Test And Cross Validation Split.mp4 | 116.21 MB |
| 14. Model Performance Metrics/1. Performance Metrics Part1.mp4 | 113.83 MB |
| 7. Data Visualisation/3. Case Study.mp4 | 113.2 MB |
| 26. Project Kaggle/3. Translating the Problem In Machine Learning World.mp4 | 113.02 MB |
| 1. Python Fundamentals/5. Variables in Python.mp4 | 110.46 MB |
| 24. Advanced Machine Learning Algorithms/8. Case Study.mp4 | 106.22 MB |
| 1. Python Fundamentals/11. String Part1.mp4 | 106.01 MB |
| 21. Model Selection Part2/1. Model Selection Part1.mp4 | 104.3 MB |
| 25. Deep Learning/6. Neural Network Playground.mp4 | 103.7 MB |
| 10. Multiple Linear Regression/3. Case Study part2.mp4 | 98.41 MB |
| 23. Dimension Reduction/2. PCA.mp4 | 98.39 MB |
| 26. Project Kaggle/4. Dealing with Text Data.mp4 | 98.05 MB |
| 23. Dimension Reduction/3. Maths Behind PCA.mp4 | 96.82 MB |
| 22. Unsupervised Learning/9. Case Study Part1.mp4 | 95.82 MB |
| 19. Decision Tree/10. DT Case Study Part2.mp4 | 95.71 MB |
| 16. Naive Bayes/9. Case Study 1.mp4 | 95.46 MB |
| 4. Some Fun With Maths/2. Linear Algebra Matrix Part1.mp4 | 95.26 MB |
| 1. Python Fundamentals/1. Introduction to the course.mp4 | 93.85 MB |
| 26. Project Kaggle/1. Introduction to the Problem Statement.mp4 | 93.36 MB |
| 14. Model Performance Metrics/2. Performance Metrics Part2.mp4 | 90.48 MB |
| 1. Python Fundamentals/2. Introduction to Kaggle.mp4 | 90.07 MB |
| 18. Support Vector Machine (SVM)/11. Case Study 2.mp4 | 90 MB |
| 11. HotstarNetflix Real world Case Study for Multiple Linear Regression/4. Building Model Part2.mp4 | 87.8 MB |
| 1. Python Fundamentals/14. List Part2.mp4 | 87.32 MB |
| 1. Python Fundamentals/10. Functions.mp4 | 85.62 MB |
| 26. Project Kaggle/6. Understanding Evaluation Matrix Log Loss.mp4 | 85.5 MB |
| 13. KNN/11. Classification Case1.mp4 | 84.22 MB |
| 10. Multiple Linear Regression/2. Case Study part1.mp4 | 83.04 MB |
| 8. Exploratory Data Analysis/10. Univariate Analysis Part1.mp4 | 82.78 MB |
| 1. Python Fundamentals/3. Installation of Python and Anaconda.mp4 | 82.29 MB |
| 11. HotstarNetflix Real world Case Study for Multiple Linear Regression/2. Playing With Data.mp4 | 81.36 MB |