[DesireCourse.Net] Udemy - Data Science Masterclass With R! 4 Projects+8 Case Studies

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[DesireCourse.Net] Udemy - Data Science Masterclass With R! 4 Projects+8 Case Studies

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文件列表

  • 16. SUPERVISED LEARNING REGRESSION/5. Linear Regression 5.mp4 259.5 MB
  • 18. Logistic Regression/7. Telecom Churn Case Study.mp4 259.4 MB
  • 30. Capstone Project - Big Mart Sell/5. Big Mart Sale - Pre-Processing.mp4 246.5 MB
  • 16. SUPERVISED LEARNING REGRESSION/3. Linear Regression 3.mp4 244.4 MB
  • 3. Course Curriculum Overview/1. What We are Going to Discuss Over the Course.vtt 229.3 MB
  • 3. Course Curriculum Overview/1. What We are Going to Discuss Over the Course.mp4 229.2 MB
  • 24. Capstone Project - Titanic Survival/9. Capstone Project - Decision Tree.mp4 216.2 MB
  • 29. Association Rule Mining/4. Association Rule Mining - Case Study.mp4 214.0 MB
  • 30. Capstone Project - Big Mart Sell/6. Big Mart Sale - Model Building & Evaluation.mp4 210.8 MB
  • 31. Model Deployment/3. Model Deployment - Steps To Follow.mp4 209.1 MB
  • 24. Capstone Project - Titanic Survival/7. Capstone Project - Logistics Regression.mp4 202.9 MB
  • 8. Data Manipulation/4. Data Manipulation - mutate.mp4 195.3 MB
  • 8. Data Manipulation/5. Data Manipulation - filter.mp4 195.2 MB
  • 28. Principal Component Analysis (PCA)/2. PCA - R Code Implementation.mp4 190.7 MB
  • 16. SUPERVISED LEARNING REGRESSION/4. Linear Regression 4.mp4 188.1 MB
  • 19. K-NN/4. K-NN Case Study.mp4 186.2 MB
  • 25. K-Mean Clustering/3. K-Mean Clustering R Code Implementation.mp4 182.5 MB
  • 28. Principal Component Analysis (PCA)/3. PCA - Case Study.mp4 180.1 MB
  • 10. Introduction To Statistics/12. Intro To Stat - Part 7.mp4 177.0 MB
  • 26. Hierarchical Clustering/2. Hierarchical Clustering R Code Implementation.mp4 176.6 MB
  • 22. Decision Tree/4. Decision Tree Pruning.mp4 174.5 MB
  • 16. SUPERVISED LEARNING REGRESSION/10. Linear Regression 9 - Stepwise Regression.mp4 172.0 MB
  • 12. Hypothesis Testing in Practice/16. ANOVA - Part 2.mp4 171.0 MB
  • 12. Hypothesis Testing in Practice/4. Hypothesys Testing in Practice - Part 3.mp4 169.0 MB
  • 29. Association Rule Mining/1. Association Rule Mining -Introduction.mp4 167.2 MB
  • 12. Hypothesis Testing in Practice/1. Hypothesys Testing in Practice - Part 1.mp4 164.6 MB
  • 9. Data Visualization/30. Data Visualization - ggplot2 Part 3.mp4 164.1 MB
  • 15. Data Pre-Processing/8. Data Pre-Processing 5.mp4 163.6 MB
  • 6. R Data Structure/4. Matrix, Array and Data Frame.mp4 157.7 MB
  • 10. Introduction To Statistics/18. Intro To Stat - Part 10.mp4 156.6 MB
  • 7. Import and Export in R/7. Import Excel, Web Data in R.mp4 156.2 MB
  • 25. K-Mean Clustering/2. K-Mean Clustering Intuition.mp4 155.6 MB
  • 12. Hypothesis Testing in Practice/9. Hypothesys Testing in Practice - Part 6.mp4 154.7 MB
  • 15. Data Pre-Processing/11. Data Pre-Processing 7.mp4 153.0 MB
  • 16. SUPERVISED LEARNING REGRESSION/8. Linear Regression 7 - Correlation Part 2.mp4 151.6 MB
  • 30. Capstone Project - Big Mart Sell/4. Big Mart Sale - Fetature Engineering.mp4 151.6 MB
  • 4. INTRODUCTION TO R/1. Introduction to R.mp4 150.9 MB
  • 21. Naive Bayes/1. Naive Bayes - Intuition.mp4 150.8 MB
  • 19. K-NN/2. K-NN R Code Implementation.mp4 150.6 MB
  • 6. R Data Structure/8. A Deep Drive to R Data Frame.mp4 147.6 MB
  • 9. Data Visualization/5. Data Visualization - pch.mp4 147.0 MB
  • 15. Data Pre-Processing/1. Data Pre-Processing 1.mp4 143.2 MB
  • 22. Decision Tree/3. Decision Tree - R Code Implementation.mp4 141.8 MB
  • 16. SUPERVISED LEARNING REGRESSION/6. Linear Regression 6.mp4 141.7 MB
  • 12. Hypothesis Testing in Practice/12. Chi Square -Part 2.mp4 140.0 MB
  • 8. Data Manipulation/8. Data Manipulation - Pipe Operator.mp4 139.3 MB
  • 5. R Programming/1. R Programming - R Operator.mp4 138.9 MB
  • 10. Introduction To Statistics/5. Intro To Stat - Part 3.mp4 138.6 MB
  • 10. Introduction To Statistics/9. Intro To Stat - Part 5.mp4 137.3 MB
  • 2. INTRODUCTION TO DATA SCIENCE/7. How to switch your career into ML.mp4 136.3 MB
  • 22. Decision Tree/5. Decision Tree Case Study.mp4 136.2 MB
  • 2. INTRODUCTION TO DATA SCIENCE/3. Introduction to Machine Learning.mp4 136.0 MB
  • 5. R Programming/4. R Programming - R Function.mp4 134.7 MB
  • 8. Data Manipulation/3. Data Manipulation - select.mp4 134.1 MB
  • 31. Model Deployment/4. Model Deployment - Azure ML DEMO.mp4 133.7 MB
  • 9. Data Visualization/27. Data Visualization - ggplot2 Part 1.mp4 133.2 MB
  • 15. Data Pre-Processing/3. Data Pre-Processing 2.mp4 131.7 MB
  • 12. Hypothesis Testing in Practice/6. Hypothesys Testing in Practice - Part 4.mp4 131.5 MB
  • 16. SUPERVISED LEARNING REGRESSION/7. Linear Regression 7 - Correlation Part 1.mp4 131.2 MB
  • 4. INTRODUCTION TO R/3. Setting up R.mp4 130.3 MB
  • 10. Introduction To Statistics/14. Intro To Stat - Part 8.mp4 127.1 MB
  • 9. Data Visualization/1. Introduction to Data Visualization & Scatter Plot.mp4 126.6 MB
  • 18. Logistic Regression/3. R Code Implementation -Part2.mp4 126.2 MB
  • 2. INTRODUCTION TO DATA SCIENCE/1. Introduction to Business Analytics.mp4 125.6 MB
  • 9. Data Visualization/23. Data Visualization - 3D Plot.mp4 124.3 MB
  • 12. Hypothesis Testing in Practice/3. Hypothesys Testing in Practice - Part 2.mp4 122.2 MB
  • 11. HYPOTHESIS Testing -1/5. Hypothesys Testing - Part 3.vtt 121.0 MB
  • 11. HYPOTHESIS Testing -1/5. Hypothesys Testing - Part 3.mp4 121.0 MB
  • 18. Logistic Regression/5. Model Evaluation.mp4 120.9 MB
  • 8. Data Manipulation/1. Data Manipulation - Apply Function.mp4 120.7 MB
  • 10. Introduction To Statistics/1. Intro To Stat - Part 1.mp4 119.4 MB
  • 12. Hypothesis Testing in Practice/14. ANOVA - Part 1.mp4 119.1 MB
  • 10. Introduction To Statistics/16. Intro To Stat - Part 9.mp4 119.0 MB
  • 25. K-Mean Clustering/4. K-Mean Clustering Case Study.mp4 118.2 MB
  • 16. SUPERVISED LEARNING REGRESSION/11. Linear Regression 10 - Dummy Variable.mp4 118.1 MB
  • 11. HYPOTHESIS Testing -1/3. Hypothesys Testing - Part 2.mp4 117.9 MB
  • 16. SUPERVISED LEARNING REGRESSION/2. Linear Regression 2.mp4 117.5 MB
  • 30. Capstone Project - Big Mart Sell/1. Big Mart Sale - Data Structure.mp4 117.5 MB
  • 29. Association Rule Mining/2. Association Rule Mining -R Code Implementation.mp4 117.3 MB
  • 5. R Programming/6. R Programming - R Function #2.mp4 116.6 MB
  • 22. Decision Tree/1. Decision Tree Intuition.mp4 116.3 MB
  • 15. Data Pre-Processing/5. Data Pre-Processing 3.mp4 114.5 MB
  • 8. Data Manipulation/12. Data Manipulation - Date.mp4 113.8 MB
  • 8. Data Manipulation/6. Data Manipulation - arrange.mp4 113.5 MB
  • 9. Data Visualization/25. Correlation Plot and Word Cloud.mp4 110.9 MB
  • 6. R Data Structure/1. R Data Structure - Vector.mp4 110.6 MB
  • 30. Capstone Project - Big Mart Sell/2. Big Mart Sale - Univariate Analysis.mp4 110.1 MB
  • 18. Logistic Regression/1. Logistics Regression Intuition.mp4 108.4 MB
  • 12. Hypothesis Testing in Practice/10. Chi Square -Part 1.mp4 107.7 MB
  • 16. SUPERVISED LEARNING REGRESSION/9. Linear Regression 8 - Stepwise Regression.mp4 107.5 MB
  • 24. Capstone Project - Titanic Survival/1. Capstone Project -Introduction.mp4 106.3 MB
  • 12. Hypothesis Testing in Practice/7. Hypothesys Testing in Practice - Part 5.mp4 105.9 MB
  • 20. SVM/2. SVM - R Code Implementation.mp4 105.5 MB
  • 27. DBScan Clustering/1. DBScan Clustering -Intuition and R Code.mp4 105.3 MB
  • 17. Classification Overview/1. Classification Overview.mp4 105.3 MB
  • 31. Model Deployment/2. Model Deployment - Pre Requisite.mp4 103.9 MB
  • 21. Naive Bayes/2. Naive Bayes - R Code Implementation.mp4 103.7 MB
  • 8. Data Manipulation/10. Data Manipulation - group by.mp4 102.8 MB
  • 15. Data Pre-Processing/7. Data Pre-Processing 4.mp4 102.6 MB
  • 23. Random Forest/3. Random Forest - Case Study.mp4 101.2 MB
  • 19. K-NN/1. K-NN Intuition.mp4 99.7 MB
  • 13. Machine Learning Toolbox/1. Machine Learning Toolbox - Part 1.mp4 98.5 MB
  • 14. Business Use Case Understaing/1. Business Case Understanding.mp4 97.3 MB
  • 5. R Programming/2. R Conditional Statement & Loop.mp4 95.2 MB
  • 20. SVM/4. SVM - Model Tuning.mp4 93.9 MB
  • 16. SUPERVISED LEARNING REGRESSION/12. Linear Regression 11 - Non Linear.mp4 93.8 MB
  • 20. SVM/6. SVM - Telecom Case Study.mp4 93.8 MB
  • 9. Data Visualization/28. Data Visualization - ggplot2 Part 2.mp4 92.4 MB
  • 7. Import and Export in R/1. Import CSV Data in R.mp4 91.7 MB
  • 27. DBScan Clustering/2. DBScan Clustering - Case Study.mp4 89.9 MB
  • 2. INTRODUCTION TO DATA SCIENCE/5. Introduction To Data Scientist.mp4 89.5 MB
  • 9. Data Visualization/3. Data Visualization - mfrow.mp4 88.5 MB
  • 30. Capstone Project - Big Mart Sell/3. Big Mart Sale - Bi-Variate Analysis.mp4 87.5 MB
  • 23. Random Forest/1. Random Forest - Intuition.mp4 85.9 MB
  • 21. Naive Bayes/3. Naive Bayes - Case Study.mp4 84.1 MB
  • 28. Principal Component Analysis (PCA)/1. PCA - Intuition.mp4 84.0 MB
  • 26. Hierarchical Clustering/1. Hierarchical Clustering Intuition.mp4 83.3 MB
  • 24. Capstone Project - Titanic Survival/6. Capstone Project - Feature Engineering.mp4 83.2 MB
  • 9. Data Visualization/21. Data Visualization - Mosaic Plot and Heat Map.mp4 82.1 MB
  • 9. Data Visualization/15. Data Visualization - Histogram.mp4 81.8 MB
  • 10. Introduction To Statistics/3. Intro To Stat - Part 2.mp4 79.7 MB
  • 16. SUPERVISED LEARNING REGRESSION/1. Linear Regression 1.mp4 77.9 MB
  • 13. Machine Learning Toolbox/2. Machine Learning Toolbox - Part 2.mp4 77.0 MB
  • 11. HYPOTHESIS Testing -1/1. Hypothesys Testing - Part 1.mp4 77.0 MB
  • 26. Hierarchical Clustering/3. Hierarchical Clustering Case Study.mp4 76.8 MB
  • 10. Introduction To Statistics/11. Intro To Stat - Part 6.mp4 76.8 MB
  • 24. Capstone Project - Titanic Survival/4. Capstone Project - Data Preparation.mp4 76.0 MB
  • 10. Introduction To Statistics/20. Intro To Stat - Part 11.mp4 75.4 MB
  • 29. Association Rule Mining/3. Association Rule Mining - Pre-Processing.mp4 75.2 MB
  • 31. Model Deployment/1. Model Deployment - Workflow.mp4 74.8 MB
  • 9. Data Visualization/11. Data Visualization - Bar Plot.mp4 73.9 MB
  • 22. Decision Tree/2. Decision Tree -How it works.mp4 72.0 MB
  • 24. Capstone Project - Titanic Survival/3. Capstone Project - Lazy Predictor.mp4 70.7 MB
  • 9. Data Visualization/13. Data Visualization - Pie Chart.mp4 69.2 MB
  • 6. R Data Structure/13. R Data Structure - List.mp4 63.7 MB
  • 20. SVM/1. SVM - Intuition.mp4 63.1 MB
  • 24. Capstone Project - Titanic Survival/2. Capstone Project - Data Understanding.mp4 61.9 MB
  • 20. SVM/8. SVM - Non Separable Case and Pros and Cons.mp4 59.8 MB
  • 18. Logistic Regression/9. Summary.mp4 59.2 MB
  • 11. HYPOTHESIS Testing -1/6. Hypothesys Testing - Part 4.mp4 57.1 MB
  • 23. Random Forest/2. Random Forest -R Code Implementation.mp4 56.9 MB
  • 6. R Data Structure/10. R Data Structure - Factor.mp4 56.9 MB
  • 18. Logistic Regression/2. R Code Implementation -Part1.mp4 56.4 MB
  • 24. Capstone Project - Titanic Survival/5. Capstone Project - Data Exploration.mp4 54.8 MB
  • 12. Hypothesis Testing in Practice/17. What we discussed in the chapter so far - Summary of the Chapter.mp4 54.8 MB
  • 9. Data Visualization/19. Data Visualization - Box Plot.mp4 53.1 MB
  • 5. R Programming/8. R Programming - R Function #3.mp4 51.7 MB
  • 24. Capstone Project - Titanic Survival/8. Capstone Project - Logistics Regression 2.mp4 49.7 MB
  • 15. Data Pre-Processing/10. Data Pre-Processing 6.mp4 45.8 MB
  • 7. Import and Export in R/10. Export Data in R - CSV & Excel.mp4 43.3 MB
  • 25. K-Mean Clustering/1. Unsupervised Learning Introduction.mp4 42.5 MB
  • 9. Data Visualization/9. Data Visualization - Line Chart.mp4 36.7 MB
  • 2. INTRODUCTION TO DATA SCIENCE/9. How to switch your career into ML.mp4 35.7 MB
  • 7. Import and Export in R/4. Import Text Data in R.mp4 34.3 MB
  • 10. Introduction To Statistics/7. Intro To Stat - Part 4.mp4 33.5 MB
  • 24. Capstone Project - Titanic Survival/10. Capstone Project - Random Forest.mp4 28.8 MB
  • 9. Data Visualization/17. Data Visualization - Density Plot.mp4 25.9 MB
  • 7. Import and Export in R/9. Export Data in R - Text.mp4 22.8 MB
  • 1. Meet Your Instructor/1. Meet Your Instructor.mp4 21.6 MB
  • 9. Data Visualization/7. Data Visualization - Color.mp4 12.7 MB
  • 9. Data Visualization/32.1 data-visualization-codes-pdf.pdf.pdf 2.5 MB
  • 9. Data Visualization/33. Par Function Code.html 2.1 MB
  • 15. Data Pre-Processing/13.1 Lesson 13 - Data Pre-Processing - code 2.pdf.pdf 2.1 MB
  • 5. R Programming/10.1 R-Programming-Codes.pdf.pdf 1.2 MB
  • 22. Decision Tree/6.2 Decision Tree - codes.pdf.pdf 1.1 MB
  • 6. R Data Structure/16.1 R-Data-Structure-CODES.pdf.pdf 845.7 kB
  • 18. Logistic Regression/10.4 Churn Model data.pdf.pdf 603.4 kB
  • 18. Logistic Regression/10.5 Lesson 16 - Logistics Regression - social network data.pdf.pdf 497.1 kB
  • 21. Naive Bayes/4.4 Naive_Bayes codes.pdf.pdf 457.4 kB
  • 19. K-NN/6.3 KNN Codes.pdf.pdf 451.6 kB
  • 20. SVM/9.1 Lesson 18 - SVM - casestudy.pdf.pdf 450.7 kB
  • 18. Logistic Regression/10.3 Lesson 16 - Logistics Regression - mtcars data.pdf.pdf 439.5 kB
  • 19. K-NN/6.1 KNN - Case Study.pdf.pdf 413.3 kB
  • 20. SVM/9.2 Lesson 18 - SVM - chunt.pdf.pdf 351.3 kB
  • 6. R Data Structure/2.1 Data-Structure-Vector-Study-Note.pdf.pdf 331.2 kB
  • 30. Capstone Project - Big Mart Sell/7.1 Big Mart Sale 4 files.zip.zip 325.3 kB
  • 6. R Data Structure/9.1 A-deep-drive-into-data-frames-Study-Notes 3.pdf.pdf 305.4 kB
  • 20. SVM/9.4 Lesson 18 - SVM - iris.pdf.pdf 299.6 kB
  • 5. R Programming/5.1 R-Programming-Function-in-R-Study-Note.pdf.pdf 153.1 kB
  • 5. R Programming/2.1 R-Programming-conditional statement and loop.pdf.pdf 151.1 kB
  • 5. R Programming/3.1 R-Programming-conditional statement and loop.pdf.pdf 151.1 kB
  • 21. Naive Bayes/4.1 Naive_Bayes-Case Study.pdf.pdf 149.6 kB
  • 15. Data Pre-Processing/13.2 Lesson 13 - Data Pre-Processing -code1.pdf.pdf 148.2 kB
  • 29. Association Rule Mining/5.1 All Codes Association Rule Mining - 5 codes.zip.zip 130.3 kB
  • 18. Logistic Regression/10.2 Churn Data.csv.csv 128.8 kB
  • 7. Import and Export in R/12.7 urbanpop.xlsx.xlsx 126.0 kB
  • 7. Import and Export in R/7.1 urbanpop.xlsx.xlsx 126.0 kB
  • 5. R Programming/7.1 11-R-Programming-R-Function-Study-Note 2.pdf.pdf 121.9 kB
  • 22. Decision Tree/6.1 Churn Data.csv.csv 110.9 kB
  • 6. R Data Structure/14.1 17-R-Data-Structure-List.pdf.pdf 88.5 kB
  • 6. R Data Structure/11.1 16.R-Data-Structure-Factor.pdf.pdf 78.2 kB
  • 7. Import and Export in R/12.5 titanic_train.csv.csv 61.2 kB
  • 7. Import and Export in R/2.1 titanic-train.csv.csv 61.2 kB
  • 10. Introduction To Statistics/21.2 Intro-To-Statistic.pdf.pdf 59.6 kB
  • 21. Naive Bayes/4.2 Loan Default.csv.csv 49.9 kB
  • 16. SUPERVISED LEARNING REGRESSION/5. Linear Regression 5.vtt 27.5 kB
  • 18. Logistic Regression/7. Telecom Churn Case Study.vtt 23.2 kB
  • 16. SUPERVISED LEARNING REGRESSION/3. Linear Regression 3.vtt 23.1 kB
  • 1. Meet Your Instructor/2.1 Data Science - Course Carriculum Udemy.xlsx.xlsx 23.1 kB
  • 8. Data Manipulation/14.1 Data-Manipulation.docx.docx 22.8 kB
  • 9. Data Visualization/32. All Code Data Visualization.html 21.7 kB
  • 30. Capstone Project - Big Mart Sell/5. Big Mart Sale - Pre-Processing.vtt 21.4 kB
  • 25. K-Mean Clustering/2. K-Mean Clustering Intuition.vtt 20.6 kB
  • 30. Capstone Project - Big Mart Sell/6. Big Mart Sale - Model Building & Evaluation.vtt 20.4 kB
  • 21. Naive Bayes/1. Naive Bayes - Intuition.vtt 20.3 kB
  • 29. Association Rule Mining/4. Association Rule Mining - Case Study.vtt 20.1 kB
  • 31. Model Deployment/3. Model Deployment - Steps To Follow.vtt 19.2 kB
  • 10. Introduction To Statistics/21.1 Introduction-to-Statistics-codes-word-version.docx.docx 19.0 kB
  • 28. Principal Component Analysis (PCA)/3. PCA - Case Study.vtt 18.9 kB
  • 26. Hierarchical Clustering/2. Hierarchical Clustering R Code Implementation.vtt 18.3 kB
  • 28. Principal Component Analysis (PCA)/2. PCA - R Code Implementation.vtt 18.2 kB
  • 24. Capstone Project - Titanic Survival/9. Capstone Project - Decision Tree.vtt 18.2 kB
  • 16. SUPERVISED LEARNING REGRESSION/4. Linear Regression 4.vtt 17.6 kB
  • 30. Capstone Project - Big Mart Sell/1. Big Mart Sale - Data Structure.vtt 17.5 kB
  • 2. INTRODUCTION TO DATA SCIENCE/7. How to switch your career into ML.vtt 17.5 kB
  • 16. SUPERVISED LEARNING REGRESSION/10. Linear Regression 9 - Stepwise Regression.vtt 17.0 kB
  • 12. Hypothesis Testing in Practice/12. Chi Square -Part 2.vtt 16.8 kB
  • 10. Introduction To Statistics/9. Intro To Stat - Part 5.vtt 16.7 kB
  • 24. Capstone Project - Titanic Survival/7. Capstone Project - Logistics Regression.vtt 16.6 kB
  • 10. Introduction To Statistics/12. Intro To Stat - Part 7.vtt 16.6 kB
  • 12. Hypothesis Testing in Practice/1. Hypothesys Testing in Practice - Part 1.vtt 16.6 kB
  • 29. Association Rule Mining/1. Association Rule Mining -Introduction.vtt 16.6 kB
  • 15. Data Pre-Processing/11. Data Pre-Processing 7.vtt 16.5 kB
  • 25. K-Mean Clustering/3. K-Mean Clustering R Code Implementation.vtt 16.4 kB
  • 16. SUPERVISED LEARNING REGRESSION/2. Linear Regression 2.vtt 16.3 kB
  • 15. Data Pre-Processing/1. Data Pre-Processing 1.vtt 16.3 kB
  • 8. Data Manipulation/14. All Code Data Manipulation.html 16.2 kB
  • 10. Introduction To Statistics/5. Intro To Stat - Part 3.vtt 16.1 kB
  • 16. SUPERVISED LEARNING REGRESSION/6. Linear Regression 6.vtt 16.0 kB
  • 4. INTRODUCTION TO R/1. Introduction to R.vtt 15.9 kB
  • 9. Data Visualization/30. Data Visualization - ggplot2 Part 3.vtt 15.9 kB
  • 12. Hypothesis Testing in Practice/9. Hypothesys Testing in Practice - Part 6.vtt 15.8 kB
  • 12. Hypothesis Testing in Practice/4. Hypothesys Testing in Practice - Part 3.vtt 15.8 kB
  • 12. Hypothesis Testing in Practice/16. ANOVA - Part 2.vtt 15.8 kB
  • 16. SUPERVISED LEARNING REGRESSION/7. Linear Regression 7 - Correlation Part 1.vtt 15.7 kB
  • 10. Introduction To Statistics/18. Intro To Stat - Part 10.vtt 15.6 kB
  • 6. R Data Structure/4. Matrix, Array and Data Frame.vtt 15.6 kB
  • 16. SUPERVISED LEARNING REGRESSION/8. Linear Regression 7 - Correlation Part 2.vtt 15.5 kB
  • 15. Data Pre-Processing/3. Data Pre-Processing 2.vtt 15.5 kB
  • 22. Decision Tree/1. Decision Tree Intuition.vtt 15.4 kB
  • 13. Machine Learning Toolbox/1. Machine Learning Toolbox - Part 1.vtt 15.4 kB
  • 22. Decision Tree/5. Decision Tree Case Study.vtt 15.2 kB
  • 17. Classification Overview/1. Classification Overview.vtt 15.2 kB
  • 2. INTRODUCTION TO DATA SCIENCE/1. Introduction to Business Analytics.vtt 15.0 kB
  • 14. Business Use Case Understaing/1. Business Case Understanding.vtt 15.0 kB
  • 16. SUPERVISED LEARNING REGRESSION/9. Linear Regression 8 - Stepwise Regression.vtt 14.8 kB
  • 10. Introduction To Statistics/1. Intro To Stat - Part 1.vtt 14.8 kB
  • 22. Decision Tree/3. Decision Tree - R Code Implementation.vtt 14.7 kB
  • 18. Logistic Regression/1. Logistics Regression Intuition.vtt 14.7 kB
  • 8. Data Manipulation/4. Data Manipulation - mutate.vtt 14.6 kB
  • 7. Import and Export in R/12.1 Import-Export-Code.docx.docx 14.5 kB
  • 9. Data Visualization/27. Data Visualization - ggplot2 Part 1.vtt 14.5 kB
  • 19. K-NN/4. K-NN Case Study.vtt 14.4 kB
  • 8. Data Manipulation/5. Data Manipulation - filter.vtt 14.4 kB
  • 5. R Programming/1. R Programming - R Operator.vtt 14.3 kB
  • 2. INTRODUCTION TO DATA SCIENCE/5. Introduction To Data Scientist.vtt 14.2 kB
  • 19. K-NN/1. K-NN Intuition.vtt 14.0 kB
  • 12. Hypothesis Testing in Practice/14. ANOVA - Part 1.vtt 14.0 kB
  • 2. INTRODUCTION TO DATA SCIENCE/3. Introduction to Machine Learning.vtt 14.0 kB
  • 30. Capstone Project - Big Mart Sell/4. Big Mart Sale - Fetature Engineering.vtt 13.8 kB
  • 13. Machine Learning Toolbox/2. Machine Learning Toolbox - Part 2.vtt 13.8 kB
  • 12. Hypothesis Testing in Practice/18.1 hypo 10.docx.docx 13.7 kB
  • 16. SUPERVISED LEARNING REGRESSION/1. Linear Regression 1.vtt 13.7 kB
  • 15. Data Pre-Processing/8. Data Pre-Processing 5.vtt 13.6 kB
  • 26. Hierarchical Clustering/1. Hierarchical Clustering Intuition.vtt 13.6 kB
  • 5. R Programming/4. R Programming - R Function.vtt 13.5 kB
  • 6. R Data Structure/8. A Deep Drive to R Data Frame.vtt 13.4 kB
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