[FreeCourseSite.com] Udemy - Data Science Masterclass With R! 4 Projects+8 Case Studies
    
    File List
    
        
            
                
                    - 16. SUPERVISED LEARNING  REGRESSION/5. Linear Regression 5.mp4  247.5 MB
 
                
                    - 18. Logistic Regression/7. Telecom Churn Case Study.mp4  247.4 MB
 
                
                    - 30. Capstone Project - Big Mart Sell/5. Big Mart Sale - Pre-Processing.mp4  235.1 MB
 
                
                    - 16. SUPERVISED LEARNING  REGRESSION/3. Linear Regression 3.mp4  233.1 MB
 
                
                    - 3. Course Curriculum Overview/1. What We are Going to Discuss Over the Course.vtt  218.6 MB
 
                
                    - 3. Course Curriculum Overview/1. What We are Going to Discuss Over the Course.mp4  218.6 MB
 
                
                    - 24. Capstone Project - Titanic Survival/9. Capstone Project - Decision Tree.mp4  206.2 MB
 
                
                    - 29. Association Rule Mining/4. Association Rule Mining - Case Study.mp4  204.1 MB
 
                
                    - 30. Capstone Project - Big Mart Sell/6. Big Mart Sale - Model Building & Evaluation.mp4  201.0 MB
 
                
                    - 31. Model Deployment/3. Model Deployment - Steps To Follow.mp4  199.4 MB
 
                
                    - 24. Capstone Project - Titanic Survival/7. Capstone Project - Logistics Regression.mp4  193.5 MB
 
                
                    - 8. Data Manipulation/4. Data Manipulation - mutate.mp4  186.3 MB
 
                
                    - 8. Data Manipulation/5. Data Manipulation - filter.mp4  186.1 MB
 
                
                    - 28. Principal Component Analysis (PCA)/2. PCA - R Code Implementation.mp4  181.9 MB
 
                
                    - 16. SUPERVISED LEARNING  REGRESSION/4. Linear Regression 4.mp4  179.4 MB
 
                
                    - 19. K-NN/4. K-NN Case Study.mp4  177.6 MB
 
                
                    - 25. K-Mean Clustering/3. K-Mean Clustering R Code Implementation.mp4  174.0 MB
 
                
                    - 28. Principal Component Analysis (PCA)/3. PCA - Case Study.mp4  171.8 MB
 
                
                    - 10. Introduction To Statistics/12. Intro To Stat - Part 7.mp4  168.8 MB
 
                
                    - 26. Hierarchical Clustering/2. Hierarchical Clustering R Code Implementation.mp4  168.4 MB
 
                
                    - 22. Decision Tree/4. Decision Tree Pruning.mp4  166.4 MB
 
                
                    - 16. SUPERVISED LEARNING  REGRESSION/10. Linear Regression 9 - Stepwise Regression.mp4  164.1 MB
 
                
                    - 12. Hypothesis Testing in Practice/16. ANOVA - Part 2.mp4  163.1 MB
 
                
                    - 12. Hypothesis Testing in Practice/4. Hypothesys Testing in Practice - Part 3.mp4  161.2 MB
 
                
                    - 29. Association Rule Mining/1. Association Rule Mining -Introduction.mp4  159.5 MB
 
                
                    - 12. Hypothesis Testing in Practice/1. Hypothesys Testing in Practice - Part 1.mp4  157.0 MB
 
                
                    - 9. Data Visualization/30. Data Visualization - ggplot2 Part 3.mp4  156.5 MB
 
                
                    - 15. Data Pre-Processing/8. Data Pre-Processing 5.mp4  156.1 MB
 
                
                    - 6. R Data Structure/4. Matrix, Array and Data Frame.mp4  150.4 MB
 
                
                    - 10. Introduction To Statistics/18. Intro To Stat - Part 10.mp4  149.3 MB
 
                
                    - 7. Import and Export in R/7. Import Excel, Web Data in R.mp4  149.0 MB
 
                
                    - 25. K-Mean Clustering/2. K-Mean Clustering Intuition.mp4  148.4 MB
 
                
                    - 12. Hypothesis Testing in Practice/9. Hypothesys Testing in Practice - Part 6.mp4  147.6 MB
 
                
                    - 15. Data Pre-Processing/11. Data Pre-Processing 7.mp4  146.0 MB
 
                
                    - 16. SUPERVISED LEARNING  REGRESSION/8. Linear Regression 7 - Correlation Part 2.mp4  144.6 MB
 
                
                    - 30. Capstone Project - Big Mart Sell/4. Big Mart Sale - Fetature Engineering.mp4  144.6 MB
 
                
                    - 4. INTRODUCTION TO R/1. Introduction to R.mp4  143.9 MB
 
                
                    - 21. Naive Bayes/1. Naive Bayes - Intuition.mp4  143.9 MB
 
                
                    - 19. K-NN/2. K-NN R Code Implementation.mp4  143.6 MB
 
                
                    - 6. R Data Structure/8. A Deep Drive to R Data Frame.mp4  140.8 MB
 
                
                    - 9. Data Visualization/5. Data Visualization - pch.mp4  140.2 MB
 
                
                    - 15. Data Pre-Processing/1. Data Pre-Processing 1.mp4  136.5 MB
 
                
                    - 22. Decision Tree/3. Decision Tree - R Code Implementation.mp4  135.2 MB
 
                
                    - 16. SUPERVISED LEARNING  REGRESSION/6. Linear Regression 6.mp4  135.1 MB
 
                
                    - 12. Hypothesis Testing in Practice/12. Chi Square -Part 2.mp4  133.5 MB
 
                
                    - 8. Data Manipulation/8. Data Manipulation - Pipe Operator.mp4  132.8 MB
 
                
                    - 5. R Programming/1. R Programming - R Operator.mp4  132.5 MB
 
                
                    - 10. Introduction To Statistics/5. Intro To Stat - Part 3.mp4  132.2 MB
 
                
                    - 10. Introduction To Statistics/9. Intro To Stat - Part 5.mp4  130.9 MB
 
                
                    - 2. INTRODUCTION TO DATA SCIENCE/7. How to switch your career into ML.mp4  130.0 MB
 
                
                    - 22. Decision Tree/5. Decision Tree Case Study.mp4  129.9 MB
 
                
                    - 2. INTRODUCTION TO DATA SCIENCE/3. Introduction to Machine Learning.mp4  129.7 MB
 
                
                    - 5. R Programming/4. R Programming - R Function.mp4  128.4 MB
 
                
                    - 8. Data Manipulation/3. Data Manipulation - select.mp4  127.8 MB
 
                
                    - 31. Model Deployment/4. Model Deployment - Azure ML DEMO.mp4  127.5 MB
 
                
                    - 9. Data Visualization/27. Data Visualization - ggplot2 Part 1.mp4  127.0 MB
 
                
                    - 15. Data Pre-Processing/3. Data Pre-Processing 2.mp4  125.6 MB
 
                
                    - 12. Hypothesis Testing in Practice/6. Hypothesys Testing in Practice - Part 4.mp4  125.4 MB
 
                
                    - 16. SUPERVISED LEARNING  REGRESSION/7. Linear Regression 7 - Correlation Part 1.mp4  125.1 MB
 
                
                    - 4. INTRODUCTION TO R/3. Setting up R.mp4  124.3 MB
 
                
                    - 10. Introduction To Statistics/14. Intro To Stat - Part 8.mp4  121.2 MB
 
                
                    - 9. Data Visualization/1. Introduction to Data Visualization &  Scatter Plot.mp4  120.7 MB
 
                
                    - 18. Logistic Regression/3. R Code Implementation -Part2.mp4  120.3 MB
 
                
                    - 2. INTRODUCTION TO DATA SCIENCE/1. Introduction to Business Analytics.mp4  119.8 MB
 
                
                    - 9. Data Visualization/23. Data Visualization - 3D Plot.mp4  118.5 MB
 
                
                    - 12. Hypothesis Testing in Practice/3. Hypothesys Testing in Practice - Part 2.mp4  116.5 MB
 
                
                    - 11. HYPOTHESIS Testing -1/5. Hypothesys Testing - Part 3.vtt  115.4 MB
 
                
                    - 11. HYPOTHESIS Testing -1/5. Hypothesys Testing - Part 3.mp4  115.4 MB
 
                
                    - 18. Logistic Regression/5. Model Evaluation.mp4  115.3 MB
 
                
                    - 8. Data Manipulation/1. Data Manipulation - Apply Function.mp4  115.1 MB
 
                
                    - 10. Introduction To Statistics/1. Intro To Stat - Part 1.mp4  113.9 MB
 
                
                    - 12. Hypothesis Testing in Practice/14. ANOVA - Part 1.mp4  113.6 MB
 
                
                    - 10. Introduction To Statistics/16. Intro To Stat - Part 9.mp4  113.5 MB
 
                
                    - 25. K-Mean Clustering/4. K-Mean Clustering Case Study.mp4  112.7 MB
 
                
                    - 16. SUPERVISED LEARNING  REGRESSION/11. Linear Regression 10 - Dummy Variable.mp4  112.6 MB
 
                
                    - 11. HYPOTHESIS Testing -1/3. Hypothesys Testing - Part 2.mp4  112.5 MB
 
                
                    - 16. SUPERVISED LEARNING  REGRESSION/2. Linear Regression 2.mp4  112.1 MB
 
                
                    - 30. Capstone Project - Big Mart Sell/1. Big Mart Sale - Data Structure.mp4  112.1 MB
 
                
                    - 29. Association Rule Mining/2. Association Rule Mining -R Code Implementation.mp4  111.9 MB
 
                
                    - 5. R Programming/6. R Programming - R Function #2.mp4  111.2 MB
 
                
                    - 22. Decision Tree/1. Decision Tree Intuition.mp4  110.9 MB
 
                
                    - 15. Data Pre-Processing/5. Data Pre-Processing 3.mp4  109.2 MB
 
                
                    - 8. Data Manipulation/12. Data Manipulation - Date.mp4  108.6 MB
 
                
                    - 8. Data Manipulation/6. Data Manipulation - arrange.mp4  108.2 MB
 
                
                    - 9. Data Visualization/25. Correlation Plot and Word Cloud.mp4  105.8 MB
 
                
                    - 6. R Data Structure/1. R Data Structure - Vector.mp4  105.5 MB
 
                
                    - 30. Capstone Project - Big Mart Sell/2. Big Mart Sale - Univariate Analysis.mp4  105.0 MB
 
                
                    - 18. Logistic Regression/1. Logistics Regression Intuition.mp4  103.3 MB
 
                
                    - 12. Hypothesis Testing in Practice/10. Chi Square -Part 1.mp4  102.7 MB
 
                
                    - 16. SUPERVISED LEARNING  REGRESSION/9. Linear Regression 8 - Stepwise Regression.mp4  102.5 MB
 
                
                    - 24. Capstone Project - Titanic Survival/1. Capstone Project -Introduction.mp4  101.4 MB
 
                
                    - 12. Hypothesis Testing in Practice/7. Hypothesys Testing in Practice - Part 5.mp4  101.0 MB
 
                
                    - 20. SVM/2. SVM - R Code Implementation.mp4  100.6 MB
 
                
                    - 27. DBScan Clustering/1. DBScan  Clustering -Intuition and R Code.mp4  100.4 MB
 
                
                    - 17. Classification Overview/1. Classification Overview.mp4  100.4 MB
 
                
                    - 31. Model Deployment/2. Model Deployment - Pre Requisite.mp4  99.1 MB
 
                
                    - 21. Naive Bayes/2. Naive Bayes - R Code Implementation.mp4  98.9 MB
 
                
                    - 8. Data Manipulation/10. Data Manipulation - group by.mp4  98.0 MB
 
                
                    - 15. Data Pre-Processing/7. Data Pre-Processing 4.mp4  97.9 MB
 
                
                    - 23. Random Forest/3. Random Forest - Case Study.mp4  96.5 MB
 
                
                    - 19. K-NN/1. K-NN Intuition.mp4  95.1 MB
 
                
                    - 13. Machine Learning Toolbox/1. Machine Learning Toolbox - Part 1.mp4  94.0 MB
 
                
                    - 14. Business Use Case Understaing/1. Business Case Understanding.mp4  92.8 MB
 
                
                    - 5. R Programming/2. R Conditional Statement & Loop.mp4  90.8 MB
 
                
                    - 20. SVM/4. SVM - Model Tuning.mp4  89.5 MB
 
                
                    - 16. SUPERVISED LEARNING  REGRESSION/12. Linear Regression 11 - Non Linear.mp4  89.5 MB
 
                
                    - 20. SVM/6. SVM - Telecom Case Study.mp4  89.4 MB
 
                
                    - 9. Data Visualization/28. Data Visualization - ggplot2 Part 2.mp4  88.1 MB
 
                
                    - 7. Import and Export in R/1. Import CSV Data in R.mp4  87.4 MB
 
                
                    - 27. DBScan Clustering/2. DBScan  Clustering - Case Study.mp4  85.8 MB
 
                
                    - 2. INTRODUCTION TO DATA SCIENCE/5. Introduction To Data Scientist.mp4  85.3 MB
 
                
                    - 9. Data Visualization/3. Data Visualization - mfrow.mp4  84.4 MB
 
                
                    - 30. Capstone Project - Big Mart Sell/3. Big Mart Sale - Bi-Variate Analysis.mp4  83.4 MB
 
                
                    - 23. Random Forest/1. Random Forest - Intuition.mp4  81.9 MB
 
                
                    - 21. Naive Bayes/3. Naive Bayes - Case Study.mp4  80.2 MB
 
                
                    - 28. Principal Component Analysis (PCA)/1. PCA - Intuition.mp4  80.1 MB
 
                
                    - 26. Hierarchical Clustering/1. Hierarchical Clustering Intuition.mp4  79.5 MB
 
                
                    - 24. Capstone Project - Titanic Survival/6. Capstone Project - Feature Engineering.mp4  79.4 MB
 
                
                    - 9. Data Visualization/21. Data Visualization - Mosaic Plot and Heat Map.mp4  78.3 MB
 
                
                    - 9. Data Visualization/15. Data Visualization - Histogram.mp4  78.0 MB
 
                
                    - 10. Introduction To Statistics/3. Intro To Stat - Part 2.mp4  76.0 MB
 
                
                    - 16. SUPERVISED LEARNING  REGRESSION/1. Linear Regression 1.mp4  74.3 MB
 
                
                    - 13. Machine Learning Toolbox/2. Machine Learning Toolbox - Part 2.mp4  73.4 MB
 
                
                    - 11. HYPOTHESIS Testing -1/1. Hypothesys Testing - Part 1.mp4  73.4 MB
 
                
                    - 26. Hierarchical Clustering/3. Hierarchical  Clustering Case Study.mp4  73.2 MB
 
                
                    - 10. Introduction To Statistics/11. Intro To Stat - Part 6.mp4  73.2 MB
 
                
                    - 24. Capstone Project - Titanic Survival/4. Capstone Project - Data Preparation.mp4  72.5 MB
 
                
                    - 10. Introduction To Statistics/20. Intro To Stat - Part 11.mp4  71.9 MB
 
                
                    - 29. Association Rule Mining/3. Association Rule Mining - Pre-Processing.mp4  71.8 MB
 
                
                    - 31. Model Deployment/1. Model Deployment - Workflow.mp4  71.3 MB
 
                
                    - 9. Data Visualization/11. Data Visualization - Bar Plot.mp4  70.4 MB
 
                
                    - 22. Decision Tree/2. Decision Tree -How it works.mp4  68.7 MB
 
                
                    - 24. Capstone Project - Titanic Survival/3. Capstone Project - Lazy Predictor.mp4  67.4 MB
 
                
                    - 9. Data Visualization/13. Data Visualization - Pie Chart.mp4  66.0 MB
 
                
                    - 6. R Data Structure/13. R Data Structure - List.mp4  60.8 MB
 
                
                    - 20. SVM/1. SVM - Intuition.mp4  60.2 MB
 
                
                    - 24. Capstone Project - Titanic Survival/2. Capstone Project - Data Understanding.mp4  59.0 MB
 
                
                    - 20. SVM/8. SVM - Non Separable Case and Pros and Cons.mp4  57.1 MB
 
                
                    - 18. Logistic Regression/9. Summary.mp4  56.4 MB
 
                
                    - 11. HYPOTHESIS Testing -1/6. Hypothesys Testing - Part 4.mp4  54.4 MB
 
                
                    - 23. Random Forest/2. Random Forest -R Code Implementation.mp4  54.3 MB
 
                
                    - 6. R Data Structure/10. R Data Structure - Factor.mp4  54.3 MB
 
                
                    - 18. Logistic Regression/2. R Code Implementation -Part1.mp4  53.8 MB
 
                
                    - 24. Capstone Project - Titanic Survival/5. Capstone Project - Data Exploration.mp4  52.3 MB
 
                
                    - 12. Hypothesis Testing in Practice/17. What we discussed in the chapter so far - Summary of the Chapter.mp4  52.3 MB
 
                
                    - 9. Data Visualization/19. Data Visualization - Box Plot.mp4  50.6 MB
 
                
                    - 5. R Programming/8. R Programming - R Function #3.mp4  49.3 MB
 
                
                    - 24. Capstone Project - Titanic Survival/8. Capstone Project - Logistics Regression 2.mp4  47.4 MB
 
                
                    - 15. Data Pre-Processing/10. Data Pre-Processing 6.mp4  43.6 MB
 
                
                    - 7. Import and Export in R/10. Export Data in R - CSV & Excel.mp4  41.2 MB
 
                
                    - 25. K-Mean Clustering/1. Unsupervised Learning Introduction.mp4  40.6 MB
 
                
                    - 9. Data Visualization/9. Data Visualization - Line Chart.mp4  35.0 MB
 
                
                    - 2. INTRODUCTION TO DATA SCIENCE/9. How to switch your career into ML.mp4  34.1 MB
 
                
                    - 7. Import and Export in R/4. Import Text Data in R.mp4  32.7 MB
 
                
                    - 10. Introduction To Statistics/7. Intro To Stat - Part 4.mp4  32.0 MB
 
                
                    - 24. Capstone Project - Titanic Survival/10. Capstone Project - Random Forest.mp4  27.5 MB
 
                
                    - 9. Data Visualization/17. Data Visualization - Density Plot.mp4  24.7 MB
 
                
                    - 7. Import and Export in R/9. Export Data in R - Text.mp4  21.7 MB
 
                
                    - 1. Meet Your Instructor/1. Meet Your Instructor.mp4  20.6 MB
 
                
                    - 9. Data Visualization/7. Data Visualization - Color.mp4  12.1 MB
 
                
                    - 9. Data Visualization/32.1 data-visualization-codes-pdf.pdf.pdf  2.4 MB
 
                
                    - 9. Data Visualization/33. Par Function Code.html  2.0 MB
 
                
                    - 15. Data Pre-Processing/13.1 Lesson 13 - Data Pre-Processing - code 2.pdf.pdf  2.0 MB
 
                
                    - 5. R Programming/10.1 R-Programming-Codes.pdf.pdf  1.2 MB
 
                
                    - 22. Decision Tree/6.2 Decision Tree - codes.pdf.pdf  1.0 MB
 
                
                    - 6. R Data Structure/16.1 R-Data-Structure-CODES.pdf.pdf  825.9 KB
 
                
                    - 18. Logistic Regression/10.4 Churn Model data.pdf.pdf  589.2 KB
 
                
                    - 18. Logistic Regression/10.5 Lesson 16 - Logistics Regression - social network data.pdf.pdf  485.5 KB
 
                
                    - 21. Naive Bayes/4.4 Naive_Bayes codes.pdf.pdf  446.7 KB
 
                
                    - 19. K-NN/6.3 KNN Codes.pdf.pdf  441.0 KB
 
                
                    - 20. SVM/9.1 Lesson 18 - SVM - casestudy.pdf.pdf  440.1 KB
 
                
                    - 18. Logistic Regression/10.3 Lesson 16 - Logistics Regression - mtcars data.pdf.pdf  429.2 KB
 
                
                    - 19. K-NN/6.1 KNN - Case Study.pdf.pdf  403.6 KB
 
                
                    - 20. SVM/9.2 Lesson 18 - SVM - chunt.pdf.pdf  343.1 KB
 
                
                    - 6. R Data Structure/2.1 Data-Structure-Vector-Study-Note.pdf.pdf  323.5 KB
 
                
                    - 30. Capstone Project - Big Mart Sell/7.1 Big Mart Sale 4 files.zip.zip  317.7 KB
 
                
                    - 6. R Data Structure/9.1 A-deep-drive-into-data-frames-Study-Notes 3.pdf.pdf  298.2 KB
 
                
                    - 20. SVM/9.4 Lesson 18 - SVM - iris.pdf.pdf  292.5 KB
 
                
                    - 5. R Programming/5.1 R-Programming-Function-in-R-Study-Note.pdf.pdf  149.5 KB
 
                
                    - 5. R Programming/2.1 R-Programming-conditional statement and loop.pdf.pdf  147.5 KB
 
                
                    - 5. R Programming/3.1 R-Programming-conditional statement and loop.pdf.pdf  147.5 KB
 
                
                    - 21. Naive Bayes/4.1 Naive_Bayes-Case Study.pdf.pdf  146.1 KB
 
                
                    - 15. Data Pre-Processing/13.2 Lesson 13 - Data Pre-Processing -code1.pdf.pdf  144.7 KB
 
                
                    - 29. Association Rule Mining/5.1 All Codes Association Rule Mining - 5 codes.zip.zip  127.2 KB
 
                
                    - 18. Logistic Regression/10.2 Churn Data.csv.csv  125.8 KB
 
                
                    - 7. Import and Export in R/12.7 urbanpop.xlsx.xlsx  123.1 KB
 
                
                    - 7. Import and Export in R/7.1 urbanpop.xlsx.xlsx  123.1 KB
 
                
                    - 5. R Programming/7.1 11-R-Programming-R-Function-Study-Note 2.pdf.pdf  119.1 KB
 
                
                    - 22. Decision Tree/6.1 Churn Data.csv.csv  108.3 KB
 
                
                    - 6. R Data Structure/14.1 17-R-Data-Structure-List.pdf.pdf  86.4 KB
 
                
                    - 6. R Data Structure/11.1 16.R-Data-Structure-Factor.pdf.pdf  76.3 KB
 
                
                    - 7. Import and Export in R/12.5 titanic_train.csv.csv  59.8 KB
 
                
                    - 7. Import and Export in R/2.1 titanic-train.csv.csv  59.8 KB
 
                
                    - 10. Introduction To Statistics/21.2 Intro-To-Statistic.pdf.pdf  58.2 KB
 
                
                    - 21. Naive Bayes/4.2 Loan Default.csv.csv  48.7 KB
 
                
                    - 16. SUPERVISED LEARNING  REGRESSION/5. Linear Regression 5.vtt  26.9 KB
 
                
                    - 18. Logistic Regression/7. Telecom Churn Case Study.vtt  22.7 KB
 
                
                    - 16. SUPERVISED LEARNING  REGRESSION/3. Linear Regression 3.vtt  22.5 KB
 
                
                    - 1. Meet Your Instructor/2.1 Data Science - Course Carriculum Udemy.xlsx.xlsx  22.5 KB
 
                
                    - 8. Data Manipulation/14.1 Data-Manipulation.docx.docx  22.3 KB
 
                
                    - 9. Data Visualization/32. All Code Data Visualization.html  21.2 KB
 
                
                    - 30. Capstone Project - Big Mart Sell/5. Big Mart Sale - Pre-Processing.vtt  20.9 KB
 
                
                    - 25. K-Mean Clustering/2. K-Mean Clustering Intuition.vtt  20.1 KB
 
                
                    - 30. Capstone Project - Big Mart Sell/6. Big Mart Sale - Model Building & Evaluation.vtt  19.9 KB
 
                
                    - 21. Naive Bayes/1. Naive Bayes - Intuition.vtt  19.8 KB
 
                
                    - 29. Association Rule Mining/4. Association Rule Mining - Case Study.vtt  19.6 KB
 
                
                    - 31. Model Deployment/3. Model Deployment - Steps To Follow.vtt  18.8 KB
 
                
                    - 10. Introduction To Statistics/21.1 Introduction-to-Statistics-codes-word-version.docx.docx  18.5 KB
 
                
                    - 28. Principal Component Analysis (PCA)/3. PCA - Case Study.vtt  18.5 KB
 
                
                    - 26. Hierarchical Clustering/2. Hierarchical Clustering R Code Implementation.vtt  17.8 KB
 
                
                    - 28. Principal Component Analysis (PCA)/2. PCA - R Code Implementation.vtt  17.8 KB
 
                
                    - 24. Capstone Project - Titanic Survival/9. Capstone Project - Decision Tree.vtt  17.8 KB
 
                
                    - 16. SUPERVISED LEARNING  REGRESSION/4. Linear Regression 4.vtt  17.2 KB
 
                
                    - 30. Capstone Project - Big Mart Sell/1. Big Mart Sale - Data Structure.vtt  17.1 KB
 
                
                    - 2. INTRODUCTION TO DATA SCIENCE/7. How to switch your career into ML.vtt  17.1 KB
 
                
                    - 16. SUPERVISED LEARNING  REGRESSION/10. Linear Regression 9 - Stepwise Regression.vtt  16.6 KB
 
                
                    - 12. Hypothesis Testing in Practice/12. Chi Square -Part 2.vtt  16.4 KB
 
                
                    - 10. Introduction To Statistics/9. Intro To Stat - Part 5.vtt  16.3 KB
 
                
                    - 24. Capstone Project - Titanic Survival/7. Capstone Project - Logistics Regression.vtt  16.2 KB
 
                
                    - 10. Introduction To Statistics/12. Intro To Stat - Part 7.vtt  16.2 KB
 
                
                    - 12. Hypothesis Testing in Practice/1. Hypothesys Testing in Practice - Part 1.vtt  16.2 KB
 
                
                    - 29. Association Rule Mining/1. Association Rule Mining -Introduction.vtt  16.2 KB
 
                
                    - 15. Data Pre-Processing/11. Data Pre-Processing 7.vtt  16.2 KB
 
                
                    - 25. K-Mean Clustering/3. K-Mean Clustering R Code Implementation.vtt  16.0 KB
 
                
                    - 16. SUPERVISED LEARNING  REGRESSION/2. Linear Regression 2.vtt  15.9 KB
 
                
                    - 15. Data Pre-Processing/1. Data Pre-Processing 1.vtt  15.9 KB
 
                
                    - 8. Data Manipulation/14. All Code Data Manipulation.html  15.8 KB
 
                
                    - 10. Introduction To Statistics/5. Intro To Stat - Part 3.vtt  15.7 KB
 
                
                    - 16. SUPERVISED LEARNING  REGRESSION/6. Linear Regression 6.vtt  15.6 KB
 
                
                    - 4. INTRODUCTION TO R/1. Introduction to R.vtt  15.5 KB
 
                
                    - 9. Data Visualization/30. Data Visualization - ggplot2 Part 3.vtt  15.5 KB
 
                
                    - 12. Hypothesis Testing in Practice/9. Hypothesys Testing in Practice - Part 6.vtt  15.4 KB
 
                
                    - 12. Hypothesis Testing in Practice/4. Hypothesys Testing in Practice - Part 3.vtt  15.4 KB
 
                
                    - 12. Hypothesis Testing in Practice/16. ANOVA - Part 2.vtt  15.4 KB
 
                
                    - 16. SUPERVISED LEARNING  REGRESSION/7. Linear Regression 7 - Correlation Part 1.vtt  15.4 KB
 
                
                    - 10. Introduction To Statistics/18. Intro To Stat - Part 10.vtt  15.2 KB
 
                
                    - 6. R Data Structure/4. Matrix, Array and Data Frame.vtt  15.2 KB
 
                
                    - 16. SUPERVISED LEARNING  REGRESSION/8. Linear Regression 7 - Correlation Part 2.vtt  15.2 KB
 
                
                    - 15. Data Pre-Processing/3. Data Pre-Processing 2.vtt  15.1 KB
 
                
                    - 22. Decision Tree/1. Decision Tree Intuition.vtt  15.1 KB
 
                
                    - 13. Machine Learning Toolbox/1. Machine Learning Toolbox - Part 1.vtt  15.0 KB
 
                
                    - 22. Decision Tree/5. Decision Tree Case Study.vtt  14.8 KB
 
                
                    - 17. Classification Overview/1. Classification Overview.vtt  14.8 KB
 
                
                    - 2. INTRODUCTION TO DATA SCIENCE/1. Introduction to Business Analytics.vtt  14.7 KB
 
                
                    - 14. Business Use Case Understaing/1. Business Case Understanding.vtt  14.6 KB
 
                
                    - 16. SUPERVISED LEARNING  REGRESSION/9. Linear Regression 8 - Stepwise Regression.vtt  14.5 KB
 
                
                    - 10. Introduction To Statistics/1. Intro To Stat - Part 1.vtt  14.4 KB
 
                
                    - 22. Decision Tree/3. Decision Tree - R Code Implementation.vtt  14.4 KB
 
                
                    - 18. Logistic Regression/1. Logistics Regression Intuition.vtt  14.3 KB
 
                
                    - 8. Data Manipulation/4. Data Manipulation - mutate.vtt  14.2 KB
 
                
                    - 7. Import and Export in R/12.1 Import-Export-Code.docx.docx  14.2 KB
 
                
                    - 9. Data Visualization/27. Data Visualization - ggplot2 Part 1.vtt  14.2 KB
 
                
                    - 19. K-NN/4. K-NN Case Study.vtt  14.1 KB
 
                
                    - 8. Data Manipulation/5. Data Manipulation - filter.vtt  14.1 KB
 
                
                    - 5. R Programming/1. R Programming - R Operator.vtt  13.9 KB
 
                
                    - 2. INTRODUCTION TO DATA SCIENCE/5. Introduction To Data Scientist.vtt  13.9 KB
 
                
                    - 19. K-NN/1. K-NN Intuition.vtt  13.7 KB
 
                
                    - 12. Hypothesis Testing in Practice/14. ANOVA - Part 1.vtt  13.7 KB
 
                
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