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

Creation Time	Dec. 23, 2025, 12:53 a.m.
Last Access Time	July 9, 2026, 5:32 p.m.
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Keywords	Case Studies FreeCourseSite Science With - Udemy R com Masterclass 8 Data Projects 4
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16. SUPERVISED LEARNING REGRESSION/3. Linear Regression 3.mp4 244.9 MB
17. Logistic Regression/7. Telecom Churn Case Study.mp4 240.3 MB
16. SUPERVISED LEARNING REGRESSION/3. Linear Regression 3.vtt 239.8 MB
16. SUPERVISED LEARNING REGRESSION/5. Linear Regression 5.mp4 236.2 MB
29. Capstone Project - Big Mart Sell/5. Big Mart Sale - Pre-Processing.mp4 235.1 MB
3. Course Curriculum Overview/1. What We are Going to Discuss Over the Course.mp4 218.6 MB
28. Association Rule Mining/4. Association Rule Mining - Case Study.mp4 204.1 MB
29. Capstone Project - Big Mart Sell/6. Big Mart Sale - Model Building & Evaluation.mp4 201.0 MB
30. Model Deployment/3. Model Deployment - Steps To Follow.mp4 199.4 MB
8. Data Manipulation/5. Data Manipulation - filter.mp4 189.3 MB
27. Principal Component Analysis (PCA)/2. PCA - R Code Implementation.mp4 181.9 MB
8. Data Manipulation/4. Data Manipulation - mutate.mp4 176.0 MB
24. K-Mean Clustering/3. K-Mean Clustering R Code Implementation.mp4 174.0 MB
18. K-NN/4. K-NN Case Study.mp4 173.9 MB
16. SUPERVISED LEARNING REGRESSION/4. Linear Regression 4.mp4 172.5 MB
27. Principal Component Analysis (PCA)/3. PCA - Case Study.mp4 171.8 MB
25. Hierarchical Clustering/2. Hierarchical Clustering R Code Implementation.mp4 168.4 MB
10. Introduction To Statistics/12. Intro To Stat - Part 7.mp4 163.8 MB
16. SUPERVISED LEARNING REGRESSION/10. Linear Regression 9 - Stepwise Regression.mp4 160.6 MB
6. R Data Structure/4. Matrix, Array and Data Frame.mp4 159.6 MB
28. Association Rule Mining/1. Association Rule Mining -Introduction.mp4 159.5 MB
12. Hypothesis Testing in Practice/16. ANOVA - Part 2.mp4 157.4 MB
12. Hypothesis Testing in Practice/1. Hypothesys Testing in Practice - Part 1.mp4 156.0 MB
12. Hypothesis Testing in Practice/4. Hypothesys Testing in Practice - Part 3.mp4 154.0 MB
9. Data Visualization/30. Data Visualization - ggplot2 Part 3.mp4 150.6 MB
6. R Data Structure/8. A Deep Drive to R Data Frame.mp4 148.9 MB
24. K-Mean Clustering/2. K-Mean Clustering Intuition.mp4 148.4 MB
15. Data Pre-Processing/8. Data Pre-Processing 5.mp4 146.4 MB
15. Data Pre-Processing/1. Data Pre-Processing 1.mp4 146.1 MB
10. Introduction To Statistics/18. Intro To Stat - Part 10.mp4 144.9 MB
29. Capstone Project - Big Mart Sell/4. Big Mart Sale - Fetature Engineering.mp4 144.6 MB
12. Hypothesis Testing in Practice/9. Hypothesys Testing in Practice - Part 6.mp4 141.7 MB
18. K-NN/2. K-NN R Code Implementation.mp4 141.3 MB
7. Import and Export in R/7. Import Excel, Web Data in R.mp4 139.6 MB
8. Data Manipulation/8. Data Manipulation - Pipe Operator.mp4 139.0 MB
16. SUPERVISED LEARNING REGRESSION/8. Linear Regression 7 - Correlation Part 2.mp4 138.6 MB
20. Naive Bayes/1. Naive Bayes - Intuition.mp4 136.6 MB
15. Data Pre-Processing/11. Data Pre-Processing 7.mp4 135.4 MB
4. INTRODUCTION TO R/1. Introduction to R.mp4 133.2 MB
9. Data Visualization/7. Data Visualization - pch.mp4 132.6 MB
21. Decision Tree/3. Decision Tree - R Code Implementation.mp4 131.2 MB
15. Data Pre-Processing/3. Data Pre-Processing 2.mp4 131.2 MB
16. SUPERVISED LEARNING REGRESSION/6. Linear Regression 6.mp4 128.2 MB
16. SUPERVISED LEARNING REGRESSION/6. Linear Regression 6.vtt 128.2 MB
30. Model Deployment/4. Model Deployment - Azure ML DEMO.mp4 127.5 MB
12. Hypothesis Testing in Practice/12. Chi Square -Part 2.mp4 126.2 MB
10. Introduction To Statistics/9. Intro To Stat - Part 5.mp4 123.9 MB
10. Introduction To Statistics/5. Intro To Stat - Part 3.mp4 123.2 MB
5. R Programming/1. R Programming - R Operator.mp4 120.9 MB
9. Data Visualization/27. Data Visualization - ggplot2 Part 1.mp4 120.1 MB
8. Data Manipulation/1. Data Manipulation - Apply Function.mp4 119.9 MB
12. Hypothesis Testing in Practice/6. Hypothesys Testing in Practice - Part 4.mp4 119.5 MB
16. SUPERVISED LEARNING REGRESSION/7. Linear Regression 7 - Correlation Part 1.mp4 119.4 MB
5. R Programming/4. R Programming - R Function.mp4 118.2 MB
2. INTRODUCTION TO DATA SCIENCE/3. Introduction to Machine Learning.mp4 117.6 MB
2. INTRODUCTION TO DATA SCIENCE/7. How to switch your career into ML.mp4 117.5 MB
8. Data Manipulation/3. Data Manipulation - select.mp4 117.1 MB
17. Logistic Regression/3. R Code Implementation -Part2.mp4 116.2 MB
10. Introduction To Statistics/14. Intro To Stat - Part 8.mp4 115.2 MB
9. Data Visualization/1. Introduction to Data Visualization & Scatter Plot.mp4 115.0 MB
4. INTRODUCTION TO R/3. Setting up R.mp4 114.6 MB
16. SUPERVISED LEARNING REGRESSION/2. Linear Regression 2.mp4 114.1 MB
9. Data Visualization/23. Data Visualization - 3D Plot.mp4 113.8 MB
24. K-Mean Clustering/4. K-Mean Clustering Case Study.mp4 112.7 MB
29. Capstone Project - Big Mart Sell/1. Big Mart Sale - Data Structure.mp4 112.1 MB
28. Association Rule Mining/2. Association Rule Mining -R Code Implementation.mp4 111.9 MB
6. R Data Structure/1. R Data Structure - Vector.mp4 111.7 MB
12. Hypothesis Testing in Practice/3. Hypothesys Testing in Practice - Part 2.mp4 111.4 MB
17. Logistic Regression/5. Model Evaluation.mp4 110.6 MB
16. SUPERVISED LEARNING REGRESSION/11. Linear Regression 10 - Dummy Variable.mp4 108.4 MB
11. HYPOTHESIS Testing -1/5. Hypothesys Testing - Part 3.mp4 108.3 MB
10. Introduction To Statistics/16. Intro To Stat - Part 9.mp4 108.2 MB
2. INTRODUCTION TO DATA SCIENCE/1. Introduction to Business Analytics.mp4 107.6 MB
10. Introduction To Statistics/1. Intro To Stat - Part 1.mp4 106.9 MB
12. Hypothesis Testing in Practice/14. ANOVA - Part 1.mp4 106.2 MB
29. Capstone Project - Big Mart Sell/2. Big Mart Sale - Univariate Analysis.mp4 105.0 MB
11. HYPOTHESIS Testing -1/3. Hypothesys Testing - Part 2.mp4 104.7 MB
5. R Programming/6. R Programming - R Function #2.mp4 103.5 MB
8. Data Manipulation/10. Data Manipulation - group by.mp4 103.5 MB
8. Data Manipulation/6. Data Manipulation - arrange.mp4 102.9 MB
21. Decision Tree/1. Decision Tree Intuition.mp4 102.5 MB
23. Capstone Project - Titanic Survival/1. Capstone Project -Introduction.mp4 101.4 MB
15. Data Pre-Processing/5. Data Pre-Processing 3.mp4 100.5 MB
26. DBScan Clustering/1. DBScan Clustering -Intuition and R Code.mp4 100.4 MB
9. Data Visualization/25. Correlation Plot and Word Cloud.mp4 100.1 MB
30. Model Deployment/2. Model Deployment - Pre Requisite.mp4 99.1 MB
12. Hypothesis Testing in Practice/16. ANOVA - Part 2.vtt 98.8 MB
8. Data Manipulation/12. Data Manipulation - Date.mp4 98.1 MB
16. SUPERVISED LEARNING REGRESSION/9. Linear Regression 8 - Stepwise Regression.mp4 97.4 MB
12. Hypothesis Testing in Practice/10. Chi Square -Part 1.mp4 97.2 MB
19. SVM/2. SVM - R Code Implementation.mp4 97.2 MB
17. Logistic Regression/1. Logistics Regression Intuition.mp4 96.8 MB
22. Random Forest/3. Random Forest - Case Study.mp4 96.5 MB
20. Naive Bayes/2. Naive Bayes - R Code Implementation.mp4 96.1 MB
13. Machine Learning Toolbox/1. Machine Learning Toolbox - Part 1.vtt 95.3 MB
13. Machine Learning Toolbox/1. Machine Learning Toolbox - Part 1.mp4 95.3 MB
12. Hypothesis Testing in Practice/7. Hypothesys Testing in Practice - Part 5.mp4 94.6 MB
7. Import and Export in R/1. Import CSV Data in R.mp4 91.5 MB
14. Business Use Case Understaing/1. Business Case Understanding.mp4 89.8 MB
15. Data Pre-Processing/7. Data Pre-Processing 4.mp4 89.4 MB
18. K-NN/1. K-NN Intuition.mp4 88.6 MB
19. SVM/4. SVM - Model Tuning.mp4 87.4 MB
16. SUPERVISED LEARNING REGRESSION/12. Linear Regression 11 - Non Linear.mp4 86.9 MB
2. INTRODUCTION TO DATA SCIENCE/5. Introduction To Data Scientist.mp4 86.6 MB
26. DBScan Clustering/2. DBScan Clustering - Case Study.mp4 85.8 MB
26. DBScan Clustering/2. DBScan Clustering - Case Study.vtt 85.8 MB
5. R Programming/2. R Conditional Statement & Loop.mp4 84.9 MB
29. Capstone Project - Big Mart Sell/3. Big Mart Sale - Bi-Variate Analysis.mp4 83.4 MB
9. Data Visualization/28. Data Visualization - ggplot2 Part 2.mp4 82.5 MB
9. Data Visualization/28. Data Visualization - ggplot2 Part 2.vtt 82.5 MB
22. Random Forest/1. Random Forest - Intuition.mp4 81.9 MB
9. Data Visualization/3. Data Visualization - mfrow.mp4 81.0 MB
27. Principal Component Analysis (PCA)/1. PCA - Intuition.mp4 80.1 MB
25. Hierarchical Clustering/1. Hierarchical Clustering Intuition.mp4 79.5 MB
23. Capstone Project - Titanic Survival/6. Capstone Project - Feature Engineering.vtt 79.4 MB
23. Capstone Project - Titanic Survival/6. Capstone Project - Feature Engineering.mp4 79.4 MB
20. Naive Bayes/3. Naive Bayes - Case Study.mp4 76.3 MB
9. Data Visualization/15. Data Visualization - Histogram.mp4 75.2 MB
16. SUPERVISED LEARNING REGRESSION/1. Linear Regression 1.mp4 74.4 MB
25. Hierarchical Clustering/3. Hierarchical Clustering Case Study.mp4 73.2 MB
13. Machine Learning Toolbox/2. Machine Learning Toolbox - Part 2.mp4 72.7 MB
23. Capstone Project - Titanic Survival/4. Capstone Project - Data Preparation.mp4 72.5 MB
9. Data Visualization/21. Data Visualization - Mosaic Plot and Heat Map.mp4 72.4 MB
28. Association Rule Mining/3. Association Rule Mining - Pre-Processing.mp4 71.8 MB
30. Model Deployment/1. Model Deployment - Workflow.mp4 71.4 MB
10. Introduction To Statistics/3. Intro To Stat - Part 2.mp4 71.1 MB
10. Introduction To Statistics/11. Intro To Stat - Part 6.mp4 69.5 MB
11. HYPOTHESIS Testing -1/1. Hypothesys Testing - Part 1.mp4 68.4 MB
21. Decision Tree/2. Decision Tree -How it works.mp4 67.8 MB
21. Decision Tree/2. Decision Tree -How it works.vtt 67.8 MB
23. Capstone Project - Titanic Survival/3. Capstone Project - Lazy Predictor.mp4 67.4 MB
10. Introduction To Statistics/20. Intro To Stat - Part 11.mp4 66.8 MB
9. Data Visualization/11. Data Visualization - Bar Plot.mp4 66.1 MB
9. Data Visualization/13. Data Visualization - Pie Chart.mp4 61.1 MB
6. R Data Structure/13. R Data Structure - List.mp4 60.7 MB
23. Capstone Project - Titanic Survival/2. Capstone Project - Data Understanding.mp4 59.0 MB
19. SVM/1. SVM - Intuition.mp4 56.4 MB
6. R Data Structure/10. R Data Structure - Factor.mp4 54.7 MB
22. Random Forest/2. Random Forest -R Code Implementation.mp4 54.3 MB
17. Logistic Regression/9. Summary.mp4 52.8 MB
19. SVM/6. SVM - Telecom Case Study.mp4 52.8 MB
23. Capstone Project - Titanic Survival/5. Capstone Project - Data Exploration.mp4 52.3 MB
17. Logistic Regression/2. R Code Implementation -Part1.mp4 51.5 MB
11. HYPOTHESIS Testing -1/6. Hypothesys Testing - Part 4.mp4 50.8 MB
5. R Programming/8. R Programming - R Function #3.mp4 50.7 MB
12. Hypothesis Testing in Practice/17. What we discussed in the chapter so far - Summary of the Chapter.mp4 49.0 MB
9. Data Visualization/19. Data Visualization - Box Plot.mp4 47.4 MB
15. Data Pre-Processing/10. Data Pre-Processing 6.mp4 42.3 MB
24. K-Mean Clustering/1. Unsupervised Learning Introduction.mp4 40.6 MB
7. Import and Export in R/11. Export Data in R - CSV & Excel.mp4 37.8 MB
7. Import and Export in R/4. Import Text Data in R.mp4 33.7 MB
9. Data Visualization/9. Data Visualization - Line Chart.mp4 32.5 MB
2. INTRODUCTION TO DATA SCIENCE/9. How to switch your career into ML.mp4 31.2 MB
19. SVM/8. SVM - Non Separable Case.mp4 29.7 MB
19. SVM/9. SVM - Pros and Cons.mp4 29.7 MB
10. Introduction To Statistics/7. Intro To Stat - Part 4.mp4 28.5 MB
9. Data Visualization/17. Data Visualization - Density Plot.mp4 22.3 MB
1. Meet Your Instructor/1. Meet Your Instructor.mp4 20.6 MB
7. Import and Export in R/9. Export Data in R - Text.mp4 19.7 MB
9. Data Visualization/5. Data Visualization - Color.mp4 10.3 MB
9. Data Visualization/7. Data Visualization - pch.vtt 6.5 MB
9. Data Visualization/32.1 data-visualization-codes-pdf.pdf.pdf 2.4 MB
15. Data Pre-Processing/13.1 Lesson 13 - Data Pre-Processing - code 2.pdf.pdf 2.0 MB
15. Data Pre-Processing/13.2 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
21. Decision Tree/4.2 Decision Tree - codes.pdf.pdf 1.0 MB
29. Capstone Project - Big Mart Sell/7.4 Train_UWu5bXk.csv.csv 849.2 KB
6. R Data Structure/16.1 R-Data-Structure-CODES.pdf.pdf 825.9 KB
17. Logistic Regression/10.4 Churn Model data.pdf.pdf 589.2 KB
17. Logistic Regression/10.5 Churn Model data.pdf.pdf 589.2 KB
29. Capstone Project - Big Mart Sell/7.1 Test_u94Q5KV.csv.csv 515.3 KB
29. Capstone Project - Big Mart Sell/7.3 Test_u94Q5KV.csv.csv 515.3 KB
17. Logistic Regression/10.3 Lesson 16 - Logistics Regression - social network data.pdf.pdf 485.5 KB
17. Logistic Regression/10.4 Lesson 16 - Logistics Regression - social network data.pdf.pdf 485.5 KB
20. Naive Bayes/4.3 Naive_Bayes codes.pdf.pdf 446.7 KB
20. Naive Bayes/4.4 Naive_Bayes codes.pdf.pdf 446.7 KB
18. K-NN/6.1 KNN Codes.pdf.pdf 441.0 KB
19. SVM/10.2 Lesson 18 - SVM - casestudy.pdf.pdf 440.1 KB
17. Logistic Regression/10.2 Lesson 16 - Logistics Regression - mtcars data.pdf.pdf 429.2 KB
17. Logistic Regression/10.3 Lesson 16 - Logistics Regression - mtcars data.pdf.pdf 429.2 KB
18. K-NN/6.2 KNN - Case Study.pdf.pdf 403.6 KB
18. K-NN/6.3 KNN - Case Study.pdf.pdf 403.6 KB
19. SVM/10.1 Lesson 18 - SVM - chunt.pdf.pdf 343.1 KB
19. SVM/10.4 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
29. Capstone Project - Big Mart Sell/7.1 all code big mart sell.zip.zip 314.1 KB
29. Capstone Project - Big Mart Sell/7.2 all code big mart sell.zip.zip 314.1 KB
6. R Data Structure/9.1 A-deep-drive-into-data-frames-Study-Notes 3.pdf.pdf 298.2 KB
19. SVM/10.1 Lesson 18 - SVM - iris.pdf.pdf 292.5 KB
19. SVM/10.3 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
20. Naive Bayes/4.1 Naive_Bayes-Case Study.pdf.pdf 146.1 KB
20. Naive Bayes/4.4 Naive_Bayes-Case Study.pdf.pdf 146.1 KB
15. Data Pre-Processing/13.1 Lesson 13 - Data Pre-Processing -code1.pdf.pdf 144.7 KB
15. Data Pre-Processing/13.2 Lesson 13 - Data Pre-Processing -code1.pdf.pdf 144.7 KB
28. Association Rule Mining/5.1 All Codes Association Rule Mining - 5 codes.zip.zip 127.2 KB
17. Logistic Regression/10.1 Churn Data.csv.csv 125.8 KB
7. Import and Export in R/13.2 urbanpop.xlsx.xlsx 123.1 KB
7. Import and Export in R/13.6 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
21. Decision Tree/4.1 Churn Data.csv.csv 108.3 KB
6. R Data Structure/14.1 17-R-Data-Structure-List.pdf.pdf 86.4 KB
29. Capstone Project - Big Mart Sell/7.2 SampleSubmission_TmnO39y.csv.csv 83.3 KB
29. Capstone Project - Big Mart Sell/7.3 SampleSubmission_TmnO39y.csv.csv 83.3 KB
6. R Data Structure/11.1 16.R-Data-Structure-Factor.pdf.pdf 76.3 KB
7. Import and Export in R/13.3 titanic_train.csv.csv 59.8 KB
7. Import and Export in R/13.7 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/21.1 Intro-To-Statistic.pdf.pdf 58.2 KB
20. Naive Bayes/4.1 Loan Default.csv.csv 48.7 KB
20. Naive Bayes/4.2 Loan Default.csv.csv 48.7 KB
16. SUPERVISED LEARNING REGRESSION/5. Linear Regression 5.vtt 27.1 KB
3. Course Curriculum Overview/1. What We are Going to Discuss Over the Course.vtt 25.0 KB
17. Logistic Regression/7. Telecom Churn Case Study.vtt 22.8 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
29. Capstone Project - Big Mart Sell/5. Big Mart Sale - Pre-Processing.vtt 20.9 KB
24. K-Mean Clustering/2. K-Mean Clustering Intuition.vtt 20.1 KB
29. Capstone Project - Big Mart Sell/6. Big Mart Sale - Model Building & Evaluation.vtt 19.9 KB
20. Naive Bayes/1. Naive Bayes - Intuition.vtt 19.8 KB
28. Association Rule Mining/4. Association Rule Mining - Case Study.vtt 19.6 KB
30. Model Deployment/3. Model Deployment - Steps To Follow.vtt 18.8 KB
10. Introduction To Statistics/21.2 Introduction-to-Statistics-codes-word-version.docx.docx 18.5 KB
27. Principal Component Analysis (PCA)/3. PCA - Case Study.vtt 18.5 KB
25. Hierarchical Clustering/2. Hierarchical Clustering R Code Implementation.vtt 17.8 KB
27. Principal Component Analysis (PCA)/2. PCA - R Code Implementation.vtt 17.8 KB
16. SUPERVISED LEARNING REGRESSION/4. Linear Regression 4.vtt 17.2 KB
29. 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 16.9 KB
16. SUPERVISED LEARNING REGRESSION/10. Linear Regression 9 - Stepwise Regression.vtt 16.9 KB
10. Introduction To Statistics/9. Intro To Stat - Part 5.vtt 16.4 KB
12. Hypothesis Testing in Practice/12. Chi Square -Part 2.vtt 16.3 KB
28. Association Rule Mining/1. Association Rule Mining -Introduction.vtt 16.2 KB
24. K-Mean Clustering/3. K-Mean Clustering R Code Implementation.vtt 16.0 KB
10. Introduction To Statistics/5. Intro To Stat - Part 3.vtt 16.0 KB
10. Introduction To Statistics/12. Intro To Stat - Part 7.vtt 15.9 KB
15. Data Pre-Processing/1. Data Pre-Processing 1.vtt 15.9 KB
16. SUPERVISED LEARNING REGRESSION/2. Linear Regression 2.vtt 15.8 KB
8. Data Manipulation/14. All Code Data Manipulation.html 15.8 KB
11. HYPOTHESIS Testing -1/5. Hypothesys Testing - Part 3.vtt 15.8 KB
12. Hypothesis Testing in Practice/4. Hypothesys Testing in Practice - Part 3.vtt 15.6 KB
4. INTRODUCTION TO R/1. Introduction to R.vtt 15.6 KB
15. Data Pre-Processing/3. Data Pre-Processing 2.vtt 15.5 KB
9. Data Visualization/30. Data Visualization - ggplot2 Part 3.vtt 15.5 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 15.3 KB
12. Hypothesis Testing in Practice/9. Hypothesys Testing in Practice - Part 6.vtt 15.3 KB
16. SUPERVISED LEARNING REGRESSION/8. Linear Regression 7 - Correlation Part 2.vtt 15.3 KB
6. R Data Structure/4. Matrix, Array and Data Frame.vtt 15.3 KB
21. Decision Tree/1. Decision Tree Intuition.vtt 15.0 KB
2. INTRODUCTION TO DATA SCIENCE/1. Introduction to Business Analytics.vtt 14.6 KB
16. SUPERVISED LEARNING REGRESSION/9. Linear Regression 8 - Stepwise Regression.vtt 14.6 KB
10. Introduction To Statistics/1. Intro To Stat - Part 1.vtt 14.6 KB
17. Logistic Regression/1. Logistics Regression Intuition.vtt 14.6 KB
15. Data Pre-Processing/11. Data Pre-Processing 7.vtt 14.5 KB
14. Business Use Case Understaing/1. Business Case Understanding.vtt 14.5 KB
21. Decision Tree/3. Decision Tree - R Code Implementation.vtt 14.5 KB
18. K-NN/4. K-NN Case Study.vtt 14.3 KB
7. Import and Export in R/13.1 Import-Export-Code.docx.docx 14.2 KB
7. Import and Export in R/13.2 Import-Export-Code.docx.docx 14.2 KB
8. Data Manipulation/4. Data Manipulation - mutate.vtt 14.2 KB
8. Data Manipulation/5. Data Manipulation - filter.vtt 14.1 KB
9. Data Visualization/27. Data Visualization - ggplot2 Part 1.vtt 14.0 KB
2. INTRODUCTION TO DATA SCIENCE/5. Introduction To Data Scientist.vtt 13.9 KB
5. R Programming/1. R Programming - R Operator.vtt 13.9 KB
2. INTRODUCTION TO DATA SCIENCE/3. Introduction to Machine Learning.vtt 13.8 KB
18. K-NN/1. K-NN Intuition.vtt 13.8 KB
12. Hypothesis Testing in Practice/14. ANOVA - Part 1.vtt 13.7 KB
15. Data Pre-Processing/8. Data Pre-Processing 5.vtt 13.5 KB
29. Capstone Project - Big Mart Sell/4. Big Mart Sale - Fetature Engineering.vtt 13.5 KB
13. Machine Learning Toolbox/2. Machine Learning Toolbox - Part 2.vtt 13.4 KB
12. Hypothesis Testing in Practice/18.1 hypo 10.docx.docx 13.3 KB
5. R Programming/4. R Programming - R Function.vtt 13.3 KB
25. Hierarchical Clustering/1. Hierarchical Clustering Intuition.vtt 13.3 KB
16. SUPERVISED LEARNING REGRESSION/1. Linear Regression 1.vtt 13.2 KB
18. K-NN/2. K-NN R Code Implementation.vtt 13.2 KB
16. SUPERVISED LEARNING REGRESSION/11. Linear Regression 10 - Dummy Variable.vtt 13.2 KB
12. Hypothesis Testing in Practice/6. Hypothesys Testing in Practice - Part 4.vtt 13.1 KB
17. Logistic Regression/5. Model Evaluation.vtt 13.1 KB
6. R Data Structure/8. A Deep Drive to R Data Frame.vtt 13.1 KB
11. HYPOTHESIS Testing -1/3. Hypothesys Testing - Part 2.vtt 12.6 KB
27. Principal Component Analysis (PCA)/1. PCA - Intuition.vtt 12.6 KB
7. Import and Export in R/7. Import Excel, Web Data in R.vtt 12.6 KB
24. K-Mean Clustering/4. K-Mean Clustering Case Study.vtt 12.5 KB
8. Data Manipulation/1. Data Manipulation - Apply Function.vtt 12.5 KB
5. R Programming/2. R Conditional Statement & Loop.vtt 12.4 KB
22. Random Forest/1. Random Forest - Intuition.vtt 12.4 KB
26. DBScan Clustering/1. DBScan Clustering -Intuition and R Code.vtt 12.1 KB
6. R Data Structure/1. R Data Structure - Vector.vtt 11.9 KB
12. Hypothesis Testing in Practice/10. Chi Square -Part 1.vtt 11.9 KB
16. SUPERVISED LEARNING REGRESSION/12. Linear Regression 11 - Non Linear.vtt 11.7 KB
8. Data Manipulation/3. Data Manipulation - select.vtt 11.7 KB
12. Hypothesis Testing in Practice/7. Hypothesys Testing in Practice - Part 5.vtt 11.6 KB
4. INTRODUCTION TO R/3. Setting up R.vtt 11.5 KB
10. Introduction To Statistics/14. Intro To Stat - Part 8.vtt 11.4 KB
11. HYPOTHESIS Testing -1/1. Hypothesys Testing - Part 1.vtt 11.3 KB
17. Logistic Regression/3. R Code Implementation -Part2.vtt 11.3 KB
29. Capstone Project - Big Mart Sell/2. Big Mart Sale - Univariate Analysis.vtt 11.2 KB
9. Data Visualization/1. Introduction to Data Visualization & Scatter Plot.vtt 11.1 KB
28. Association Rule Mining/2. Association Rule Mining -R Code Implementation.vtt 11.1 KB
30. Model Deployment/4. Model Deployment - Azure ML DEMO.vtt 11.0 KB
10. Introduction To Statistics/16. Intro To Stat - Part 9.vtt 10.9 KB
23. Capstone Project - Titanic Survival/1. Capstone Project -Introduction.vtt 10.8 KB
2. INTRODUCTION TO DATA SCIENCE/4. Introduction to Machine Learning.html 10.8 KB
15. Data Pre-Processing/5. Data Pre-Processing 3.vtt 10.8 KB
22. Random Forest/3. Random Forest - Case Study.vtt 10.7 KB
17. Logistic Regression/10.2 Social_Network_Ads.csv.csv 10.7 KB
17. Logistic Regression/10.5 Social_Network_Ads.csv.csv 10.7 KB
18. K-NN/6.2 Social_Network_Ads.csv.csv 10.7 KB
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