[FreeCourseSite.com] Udemy - Data Science Masterclass With R! 4 Projects 8 Case Studies

•  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