| 16. SUPERVISED LEARNING REGRESSION/5. Linear Regression 5.mp4 | 247.48 MB |
| 18. Logistic Regression/7. Telecom Churn Case Study.mp4 | 247.38 MB |
| 30. Capstone Project - Big Mart Sell/5. Big Mart Sale - Pre-Processing.mp4 | 235.09 MB |
| 16. SUPERVISED LEARNING REGRESSION/3. Linear Regression 3.mp4 | 233.08 MB |
| 3. Course Curriculum Overview/1. What We are Going to Discuss Over the Course.vtt | 218.64 MB |
| 3. Course Curriculum Overview/1. What We are Going to Discuss Over the Course.mp4 | 218.63 MB |
| 24. Capstone Project - Titanic Survival/9. Capstone Project - Decision Tree.mp4 | 206.18 MB |
| 29. Association Rule Mining/4. Association Rule Mining - Case Study.mp4 | 204.13 MB |
| 30. Capstone Project - Big Mart Sell/6. Big Mart Sale - Model Building & Evaluation.mp4 | 201.04 MB |
| 31. Model Deployment/3. Model Deployment - Steps To Follow.mp4 | 199.42 MB |
| 24. Capstone Project - Titanic Survival/7. Capstone Project - Logistics Regression.mp4 | 193.53 MB |
| 8. Data Manipulation/4. Data Manipulation - mutate.mp4 | 186.27 MB |
| 8. Data Manipulation/5. Data Manipulation - filter.mp4 | 186.13 MB |
| 28. Principal Component Analysis (PCA)/2. PCA - R Code Implementation.mp4 | 181.91 MB |
| 16. SUPERVISED LEARNING REGRESSION/4. Linear Regression 4.mp4 | 179.4 MB |
| 19. K-NN/4. K-NN Case Study.mp4 | 177.59 MB |
| 25. K-Mean Clustering/3. K-Mean Clustering R Code Implementation.mp4 | 174.02 MB |
| 28. Principal Component Analysis (PCA)/3. PCA - Case Study.mp4 | 171.79 MB |
| 10. Introduction To Statistics/12. Intro To Stat - Part 7.mp4 | 168.77 MB |
| 26. Hierarchical Clustering/2. Hierarchical Clustering R Code Implementation.mp4 | 168.4 MB |
| 22. Decision Tree/4. Decision Tree Pruning.mp4 | 166.38 MB |
| 16. SUPERVISED LEARNING REGRESSION/10. Linear Regression 9 - Stepwise Regression.mp4 | 164.05 MB |
| 12. Hypothesis Testing in Practice/16. ANOVA - Part 2.mp4 | 163.06 MB |
| 12. Hypothesis Testing in Practice/4. Hypothesys Testing in Practice - Part 3.mp4 | 161.21 MB |
| 29. Association Rule Mining/1. Association Rule Mining -Introduction.mp4 | 159.47 MB |
| 12. Hypothesis Testing in Practice/1. Hypothesys Testing in Practice - Part 1.mp4 | 156.99 MB |
| 9. Data Visualization/30. Data Visualization - ggplot2 Part 3.mp4 | 156.47 MB |
| 15. Data Pre-Processing/8. Data Pre-Processing 5.mp4 | 156.06 MB |
| 6. R Data Structure/4. Matrix, Array and Data Frame.mp4 | 150.36 MB |
| 10. Introduction To Statistics/18. Intro To Stat - Part 10.mp4 | 149.33 MB |
| 7. Import and Export in R/7. Import Excel, Web Data in R.mp4 | 148.98 MB |
| 25. K-Mean Clustering/2. K-Mean Clustering Intuition.mp4 | 148.43 MB |
| 12. Hypothesis Testing in Practice/9. Hypothesys Testing in Practice - Part 6.mp4 | 147.56 MB |
| 15. Data Pre-Processing/11. Data Pre-Processing 7.mp4 | 145.96 MB |
| 16. SUPERVISED LEARNING REGRESSION/8. Linear Regression 7 - Correlation Part 2.mp4 | 144.58 MB |
| 30. Capstone Project - Big Mart Sell/4. Big Mart Sale - Fetature Engineering.mp4 | 144.57 MB |
| 4. INTRODUCTION TO R/1. Introduction to R.mp4 | 143.92 MB |
| 21. Naive Bayes/1. Naive Bayes - Intuition.mp4 | 143.85 MB |
| 19. K-NN/2. K-NN R Code Implementation.mp4 | 143.62 MB |
| 6. R Data Structure/8. A Deep Drive to R Data Frame.mp4 | 140.76 MB |
| 9. Data Visualization/5. Data Visualization - pch.mp4 | 140.17 MB |
| 15. Data Pre-Processing/1. Data Pre-Processing 1.mp4 | 136.53 MB |
| 22. Decision Tree/3. Decision Tree - R Code Implementation.mp4 | 135.2 MB |
| 16. SUPERVISED LEARNING REGRESSION/6. Linear Regression 6.mp4 | 135.13 MB |
| 12. Hypothesis Testing in Practice/12. Chi Square -Part 2.mp4 | 133.55 MB |
| 8. Data Manipulation/8. Data Manipulation - Pipe Operator.mp4 | 132.8 MB |
| 5. R Programming/1. R Programming - R Operator.mp4 | 132.48 MB |
| 10. Introduction To Statistics/5. Intro To Stat - Part 3.mp4 | 132.17 MB |
| 10. Introduction To Statistics/9. Intro To Stat - Part 5.mp4 | 130.94 MB |
| 2. INTRODUCTION TO DATA SCIENCE/7. How to switch your career into ML.mp4 | 130.03 MB |