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

1. Introduction/1. Welcome to the course!.mp4

15.41 MB

1. Introduction/1. Welcome to the course!.srt

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1. Introduction/2. Course Resources.html

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1. Introduction/2.1 Files_linear_r.zip

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1. Introduction/3. Course contents.mp4

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1. Introduction/3. Course contents.srt

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1. Introduction/3.1 00_Introduction_01.pdf

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2. Basics of Statistics/1. Types of Data.mp4

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2. Basics of Statistics/1. Types of Data.srt

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2. Basics of Statistics/1.1 01_01_Lecture_TypesOfData.pdf

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2. Basics of Statistics/2. Types of Statistics.mp4

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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

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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

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2. Basics of Statistics/4. Measures of Centers.srt

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2. Basics of Statistics/4.1 01_04_Lecture_Centers.pdf

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2. Basics of Statistics/5. Practice Exercise 1.html

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2. Basics of Statistics/5.1 Exercise 1.pdf

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2. Basics of Statistics/6. Measures of Dispersion.mp4

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2. Basics of Statistics/6. Measures of Dispersion.srt

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2. Basics of Statistics/6.1 01_05_Lecture_Dispersion.pdf

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2. Basics of Statistics/7. Practice Exercise 2.html

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2. Basics of Statistics/7.1 Exercise 2.pdf

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3. Getting started with R and R studio/1. Installing R and R studio.mp4

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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

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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

51.51 MB

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

123.89 MB

4. Introduction to Machine Learning/1. Introduction to Machine Learning.srt

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4. Introduction to Machine Learning/1.1 Lecture_machineLearning.pdf

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4. Introduction to Machine Learning/2. Building a Machine Learning model.mp4

45.27 MB

4. Introduction to Machine Learning/2. Building a Machine Learning model.srt

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4. Introduction to Machine Learning/2.1 Lecture_machineLearning.pdf

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4. Introduction to Machine Learning/3. Introduction to Machine learning quiz.html

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5. Data Preprocessing/1. Gathering Business Knowledge.mp4

25.12 MB

5. Data Preprocessing/1. Gathering Business Knowledge.srt

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5. Data Preprocessing/1.1 03_01_PDE_Business_knowledge.pdf

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5. Data Preprocessing/10. Outlier Treatment in R.mp4

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5. Data Preprocessing/10. Outlier Treatment in R.srt

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5. Data Preprocessing/11. Project Exercise 3.html

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5. Data Preprocessing/12. Missing Value imputation.mp4

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5. Data Preprocessing/12. Missing Value imputation.srt

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5. Data Preprocessing/12.1 04_05_PDE_Missing_value.pdf

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5. Data Preprocessing/13. Missing Value imputation in R.mp4

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5. Data Preprocessing/13. Missing Value imputation in R.srt

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5. Data Preprocessing/14. Project Exercise 4.html

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5. Data Preprocessing/15. Seasonality in Data.mp4

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5. Data Preprocessing/15. Seasonality in Data.srt

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5. Data Preprocessing/15.1 04_07_PDE_Seasonality.pdf

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5. Data Preprocessing/16. Bi-variate Analysis and Variable Transformation.mp4

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5. Data Preprocessing/16. Bi-variate Analysis and Variable Transformation.srt

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5. Data Preprocessing/16.1 04_07_Variable_Transformation.pdf

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5. Data Preprocessing/17. Variable transformation in R.mp4

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5. Data Preprocessing/17. Variable transformation in R.srt

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5. Data Preprocessing/18. Project Exercise 5.html

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5. Data Preprocessing/19. Non Usable Variables.mp4

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5. Data Preprocessing/19. Non Usable Variables.srt

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5. Data Preprocessing/19.1 04_08_PDE_Non_Usable_var.pdf

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5. Data Preprocessing/2. Data Exploration.mp4

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5. Data Preprocessing/2. Data Exploration.srt

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5. Data Preprocessing/2.1 03_02_PDE_Data_exploration.pdf

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5. Data Preprocessing/20. Dummy variable creation Handling qualitative data.mp4

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5. Data Preprocessing/20. Dummy variable creation Handling qualitative data.srt

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5. Data Preprocessing/20.1 04_11_Dummy_Var.pdf

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5. Data Preprocessing/21. Dummy variable creation in R.mp4

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5. Data Preprocessing/21. Dummy variable creation in R.srt

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5. Data Preprocessing/22. Project Exercise 6.html

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5. Data Preprocessing/23. Correlation Matrix and cause-effect relationship.mp4

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5. Data Preprocessing/23. Correlation Matrix and cause-effect relationship.srt

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5. Data Preprocessing/23.1 04_10_Correlation.pdf

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5. Data Preprocessing/24. Correlation Matrix in R.mp4

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5. Data Preprocessing/24. Correlation Matrix in R.srt

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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

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5. Data Preprocessing/3. The Data and the Data Dictionary.srt

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5. Data Preprocessing/3.1 House_Price.csv

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5. Data Preprocessing/3.2 03_03_PDE_Raw_Data_Analysis_Uni.pdf

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5. Data Preprocessing/4. Importing the dataset into R.mp4

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5. Data Preprocessing/4. Importing the dataset into R.srt

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5. Data Preprocessing/4.1 R_Linear.zip

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5. Data Preprocessing/4.2 House_Price.csv

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5. Data Preprocessing/5. Project Exercise 1.html

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5. Data Preprocessing/5.1 Movie_collection_train.csv

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5. Data Preprocessing/6. Univariate Analysis and EDD.mp4

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5. Data Preprocessing/6. Univariate Analysis and EDD.srt

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5. Data Preprocessing/6.1 03_04_PDE_Univariate_Analysis_Uni.pdf

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5. Data Preprocessing/7. EDD in R.mp4

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5. Data Preprocessing/7. EDD in R.srt

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5. Data Preprocessing/8. Project Exercise 2.html

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5. Data Preprocessing/9. Outlier Treatment.mp4

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5. Data Preprocessing/9. Outlier Treatment.srt

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5. Data Preprocessing/9.1 04_06_PDE_Outlier_Treatment.pdf

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6. Linear Regression Model/1. The problem statement.mp4

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6. Linear Regression Model/1. The problem statement.srt

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6. Linear Regression Model/1.1 05_01_Intro.pdf

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6. Linear Regression Model/10. Quiz.html

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6. Linear Regression Model/11. Multiple Linear Regression in R.mp4

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6. Linear Regression Model/11. Multiple Linear Regression in R.srt

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6. Linear Regression Model/12. Quiz.html

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6. Linear Regression Model/13. Project Exercise 9.html

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6. Linear Regression Model/14. Test-Train split.mp4

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6. Linear Regression Model/14. Test-Train split.srt

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6. Linear Regression Model/14.1 05_12_Test_Train.pdf

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6. Linear Regression Model/15. Bias Variance trade-off.mp4

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6. Linear Regression Model/15. Bias Variance trade-off.srt

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6. Linear Regression Model/15.1 05_13_Bias_Var_tradeoff.pdf

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6. Linear Regression Model/16. Test-Train Split in R.mp4

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6. Linear Regression Model/16. Test-Train Split in R.srt

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6. Linear Regression Model/17. Quiz.html

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6. Linear Regression Model/2. Basic equations and Ordinary Least Squared (OLS) method.mp4

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6. Linear Regression Model/2. Basic equations and Ordinary Least Squared (OLS) method.srt

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6. Linear Regression Model/2.1 05_02_Simple_lin_reg.pdf

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6. Linear Regression Model/3. Assessing Accuracy of predicted coefficients.mp4

104.44 MB

6. Linear Regression Model/3. Assessing Accuracy of predicted coefficients.srt

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6. Linear Regression Model/3.1 05_03_Simple_lin_reg_Accuracy.pdf

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6. Linear Regression Model/4. Assessing Model Accuracy - RSE and R squared.mp4

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6. Linear Regression Model/4. Assessing Model Accuracy - RSE and R squared.srt

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6. Linear Regression Model/4.1 05_03_Simple_lin_reg_Accuracy.pdf

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6. Linear Regression Model/5. Simple Linear Regression in R.mp4

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6. Linear Regression Model/5. Simple Linear Regression in R.srt

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6. Linear Regression Model/6. Project Exercise 8.html

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6. Linear Regression Model/7. Multiple Linear Regression.mp4

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6. Linear Regression Model/7. Multiple Linear Regression.srt

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6. Linear Regression Model/7.1 05_04_Multiple_lin_reg.pdf

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6. Linear Regression Model/8. The F - statistic.mp4

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6. Linear Regression Model/8. The F - statistic.srt

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6. Linear Regression Model/8.1 05_05_F_stat.pdf

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6. Linear Regression Model/9. Interpreting result for categorical Variable.mp4

27.16 MB

6. Linear Regression Model/9. Interpreting result for categorical Variable.srt

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6. Linear Regression Model/9.1 05_06_Cat_var.pdf

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7. Regression models other than OLS/1. Linear models other than OLS.mp4

19.19 MB

7. Regression models other than OLS/1. Linear models other than OLS.srt

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7. Regression models other than OLS/1.1 05_09_Other_lin_model.pdf

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7. Regression models other than OLS/2. Subset Selection techniques.mp4

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7. Regression models other than OLS/2. Subset Selection techniques.srt

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7. Regression models other than OLS/2.1 05_10_Subset_Selection.pdf

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7. Regression models other than OLS/3. Subset selection in R.mp4

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7. Regression models other than OLS/3. Subset selection in R.srt

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7. Regression models other than OLS/4. Project Exercise 10.html

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7. Regression models other than OLS/5. Shrinkage methods - Ridge Regression and The Lasso.mp4

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7. Regression models other than OLS/5. Shrinkage methods - Ridge Regression and The Lasso.srt

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7. Regression models other than OLS/5.1 05_11_Shrinkage_methods.pdf

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7. Regression models other than OLS/6. Ridge regression and Lasso in R.mp4

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7. Regression models other than OLS/6. Ridge regression and Lasso in R.srt

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7. Regression models other than OLS/7. Heteroscedasticity.mp4

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7. Regression models other than OLS/7. Heteroscedasticity.srt

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7. Regression models other than OLS/8. Project Exercise 11.html

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8. Conclusion/1. Final Project Exercise.html

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8. Conclusion/1.1 Movie_collection_test.csv

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8. Conclusion/2. Course Conclusion.html

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8. Conclusion/3. Bonus Lecture.html

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[FreeCourseLab.me].url

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