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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
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