[FreeCourseLab.me] Udemy - Machine Learning for Beginners Linear Regression model in R

Torrent Hash:
97AF96C7A47F77FB25E4D5153E858CA64C514A15
Number of Files:
168
Content Size:
2.79GB
Convert On:
2020-10-07
Magnet Link:
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File Name
Size
1. Introduction/1. Welcome to the course!.mp4
15.41MB
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1. Introduction/1. Welcome to the course!.srt
3.41KB
1. Introduction/2. Course Resources.html
117B
1. Introduction/2.1 Files_linear_r.zip
8.55MB
1. Introduction/3. Course contents.mp4
47.05MB
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1. Introduction/3. Course contents.srt
10.2KB
1. Introduction/3.1 00_Introduction_01.pdf
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2. Basics of Statistics/1. Types of Data.mp4
25.87MB
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2. Basics of Statistics/1. Types of Data.srt
4.89KB
2. Basics of Statistics/1.1 01_01_Lecture_TypesOfData.pdf
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2. Basics of Statistics/2. Types of Statistics.mp4
13.24MB
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2. Basics of Statistics/2. Types of Statistics.srt
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2. Basics of Statistics/2.1 01_02_Lecture_TypesOfStatistics.pdf
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2. Basics of Statistics/3. Describing the data graphically.mp4
82.16MB
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2. Basics of Statistics/3. Describing the data graphically.srt
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2. Basics of Statistics/3.1 01_03_Lecture_DataSummaryandGraph.pdf
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2. Basics of Statistics/4. Measures of Centers.mp4
45.68MB
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2. Basics of Statistics/4. Measures of Centers.srt
7.18KB
2. Basics of Statistics/4.1 01_04_Lecture_Centers.pdf
312.98KB
2. Basics of Statistics/5. Practice Exercise 1.html
354B
2. Basics of Statistics/5.1 Exercise 1.pdf
553.83KB
2. Basics of Statistics/6. Measures of Dispersion.mp4
28.37MB
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2. Basics of Statistics/6. Measures of Dispersion.srt
5.35KB
2. Basics of Statistics/6.1 01_05_Lecture_Dispersion.pdf
210.55KB
2. Basics of Statistics/7. Practice Exercise 2.html
295B
2. Basics of Statistics/7.1 Exercise 2.pdf
469.93KB
3. Getting started with R and R studio/1. Installing R and R studio.mp4
40.84MB
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3. Getting started with R and R studio/1. Installing R and R studio.srt
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3. Getting started with R and R studio/2. Basics of R and R studio.mp4
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3. Getting started with R and R studio/2. Basics of R and R studio.srt
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3. Getting started with R and R studio/3. Packages in R.mp4
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3. Getting started with R and R studio/3. Packages in R.srt
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3. Getting started with R and R studio/4. Inputting data part 1 Inbuilt datasets of R.mp4
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3. Getting started with R and R studio/4. Inputting data part 1 Inbuilt datasets of R.srt
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3. Getting started with R and R studio/5. Inputting data part 2 Manual data entry.mp4
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3. Getting started with R and R studio/5. Inputting data part 2 Manual data entry.srt
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3. Getting started with R and R studio/6. Inputting data part 3 Importing from CSV or Text files.mp4
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3. Getting started with R and R studio/6. Inputting data part 3 Importing from CSV or Text files.srt
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3. Getting started with R and R studio/6.1 Customer.csv
64.02KB
3. Getting started with R and R studio/7. Creating Barplots in R.mp4
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3. Getting started with R and R studio/7. Creating Barplots in R.srt
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3. Getting started with R and R studio/8. Creating Histograms in R.mp4
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3. Getting started with R and R studio/8. Creating Histograms in R.srt
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4. Introduction to Machine Learning/1. Introduction to Machine Learning.mp4
123.89MB
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4. Introduction to Machine Learning/1. Introduction to Machine Learning.srt
23.23KB
4. Introduction to Machine Learning/1.1 Lecture_machineLearning.pdf
991.61KB
4. Introduction to Machine Learning/2. Building a Machine Learning model.mp4
45.27MB
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12.75KB
4. Introduction to Machine Learning/2.1 Lecture_machineLearning.pdf
991.61KB
4. Introduction to Machine Learning/3. Introduction to Machine learning quiz.html
167B
5. Data Preprocessing/1. Gathering Business Knowledge.mp4
25.12MB
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3.9KB
5. Data Preprocessing/1.1 03_01_PDE_Business_knowledge.pdf
153.94KB
5. Data Preprocessing/10. Outlier Treatment in R.mp4
37.97MB
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4.34KB
5. Data Preprocessing/11. Project Exercise 3.html
233B
5. Data Preprocessing/12. Missing Value imputation.mp4
27.56MB
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4.08KB
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325.68KB
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31.77MB
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3.46KB
5. Data Preprocessing/14. Project Exercise 4.html
238B
5. Data Preprocessing/15. Seasonality in Data.mp4
20.89MB
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3.78KB
5. Data Preprocessing/15.1 04_07_PDE_Seasonality.pdf
364.09KB
5. Data Preprocessing/16. Bi-variate Analysis and Variable Transformation.mp4
113.76MB
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18.29KB
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422.8KB
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67.85MB
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5. Data Preprocessing/18. Project Exercise 5.html
286B
5. Data Preprocessing/19. Non Usable Variables.mp4
23.95MB
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5.39KB
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138.35KB
5. Data Preprocessing/2. Data Exploration.mp4
23.41MB
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3.6KB
5. Data Preprocessing/2.1 03_02_PDE_Data_exploration.pdf
322.91KB
5. Data Preprocessing/20. Dummy variable creation Handling qualitative data.mp4
40.61MB
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4.86KB
5. Data Preprocessing/20.1 04_11_Dummy_Var.pdf
162.97KB
5. Data Preprocessing/21. Dummy variable creation in R.mp4
52.26MB
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5. Data Preprocessing/22. Project Exercise 6.html
202B
5. Data Preprocessing/23. Correlation Matrix and cause-effect relationship.mp4
81.28MB
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256.91KB
5. Data Preprocessing/24. Correlation Matrix in R.mp4
95.06MB
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5. Data Preprocessing/25. Project Exercise 7.html
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5. Data Preprocessing/3. The Data and the Data Dictionary.mp4
78.58MB
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331.98KB
5. Data Preprocessing/4. Importing the dataset into R.mp4
15.98MB
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2.6KB
5. Data Preprocessing/4.1 R_Linear.zip
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5. Data Preprocessing/4.2 House_Price.csv
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112.27MB
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73.1MB
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8.1KB
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238.78KB
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202.38KB
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91.05MB
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8.41KB
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50.23MB
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284.77KB
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104.44MB
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15.83KB
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332.72KB
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49.73MB
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332.72KB
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50.6MB
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38.92MB
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5.73KB
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219.79KB
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64.16MB
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328.48KB
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27.16MB
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155.49KB
7. Regression models other than OLS/1. Linear models other than OLS.mp4
19.19MB
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4.36KB
7. Regression models other than OLS/1.1 05_09_Other_lin_model.pdf
156.51KB
7. Regression models other than OLS/2. Subset Selection techniques.mp4
87.11MB
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7. Regression models other than OLS/2. Subset Selection techniques.srt
12.78KB
7. Regression models other than OLS/2.1 05_10_Subset_Selection.pdf
198.52KB
7. Regression models other than OLS/3. Subset selection in R.mp4
76.62MB
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7. Regression models other than OLS/3. Subset selection in R.srt
7.61KB
7. Regression models other than OLS/4. Project Exercise 10.html
199B
7. Regression models other than OLS/5. Shrinkage methods - Ridge Regression and The Lasso.mp4
38.67MB
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7. Regression models other than OLS/5. Shrinkage methods - Ridge Regression and The Lasso.srt
8.05KB
7. Regression models other than OLS/5.1 05_11_Shrinkage_methods.pdf
188.11KB
7. Regression models other than OLS/6. Ridge regression and Lasso in R.mp4
124.25MB
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7. Regression models other than OLS/6. Ridge regression and Lasso in R.srt
11.38KB
7. Regression models other than OLS/7. Heteroscedasticity.mp4
17.72MB
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7. Regression models other than OLS/7. Heteroscedasticity.srt
2.61KB
7. Regression models other than OLS/8. Project Exercise 11.html
398B
8. Conclusion/1. Final Project Exercise.html
329B
8. Conclusion/1.1 Movie_collection_test.csv
11.72KB
8. Conclusion/2. Course Conclusion.html
946B
8. Conclusion/3. Bonus Lecture.html
1.64KB
[FreeCourseLab.me].url
126B

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