[UdemyCourseDownloader] Regression Analysis for Statistics & Machine Learning in R

• [UdemyCourseDownloader] Regression Analysis for Statistics & Machine Learning in R
• 1. Get Started with Practical Regression Analysis in R/1. INTRODUCTION TO THE COURSE The Key Concepts and Software Tools.mp4 7.8 MB
• 1. Get Started with Practical Regression Analysis in R/1. INTRODUCTION TO THE COURSE The Key Concepts and Software Tools.vtt 1.8 KB
• 1. Get Started with Practical Regression Analysis in R/2. Data For the Course.html 151 B
• 1. Get Started with Practical Regression Analysis in R/3. Difference Between Statistical Analysis & Machine Learning.mp4 13.7 MB
• 1. Get Started with Practical Regression Analysis in R/3. Difference Between Statistical Analysis & Machine Learning.vtt 6.3 KB
• 1. Get Started with Practical Regression Analysis in R/4. Getting Started with R and R Studio.mp4 18.3 MB
• 1. Get Started with Practical Regression Analysis in R/4. Getting Started with R and R Studio.vtt 6.6 KB
• 1. Get Started with Practical Regression Analysis in R/5. Reading in Data with R.mp4 42.6 MB
• 1. Get Started with Practical Regression Analysis in R/5. Reading in Data with R.vtt 15.2 KB
• 1. Get Started with Practical Regression Analysis in R/6. Data Cleaning with R.mp4 40.5 MB
• 1. Get Started with Practical Regression Analysis in R/6. Data Cleaning with R.vtt 16 KB
• 1. Get Started with Practical Regression Analysis in R/7. Some More Data Cleaning with R.mp4 22.9 MB
• 1. Get Started with Practical Regression Analysis in R/7. Some More Data Cleaning with R.vtt 8.7 KB
• 1. Get Started with Practical Regression Analysis in R/8. Basic Exploratory Data Analysis in R.mp4 48.2 MB
• 1. Get Started with Practical Regression Analysis in R/8. Basic Exploratory Data Analysis in R.vtt 19 KB
• 1. Get Started with Practical Regression Analysis in R/8.1 EDA.txt.txt 1.1 KB
• 1. Get Started with Practical Regression Analysis in R/9. Conclusion to Section 1.mp4 4.6 MB
• 1. Get Started with Practical Regression Analysis in R/9. Conclusion to Section 1.vtt 2.4 KB
• 1. Get Started with Practical Regression Analysis in R/Regression Analysis_Data and Scripts.zip 934.9 KB
• 2. Ordinary Least Square Regression Modelling/1. OLS Regression- Theory.mp4 24.9 MB
• 2. Ordinary Least Square Regression Modelling/1. OLS Regression- Theory.vtt 10.6 KB
• 2. Ordinary Least Square Regression Modelling/10. Multiple Linear regression with Interaction and Dummy Variables.mp4 37.5 MB
• 2. Ordinary Least Square Regression Modelling/10. Multiple Linear regression with Interaction and Dummy Variables.vtt 15.9 KB
• 2. Ordinary Least Square Regression Modelling/11. Some Basic Conditions that OLS Models Have to Fulfill.mp4 30.5 MB
• 2. Ordinary Least Square Regression Modelling/11. Some Basic Conditions that OLS Models Have to Fulfill.vtt 13.4 KB
• 2. Ordinary Least Square Regression Modelling/12. Conclusions to Section 2.mp4 7 MB
• 2. Ordinary Least Square Regression Modelling/12. Conclusions to Section 2.vtt 3.4 KB
• 2. Ordinary Least Square Regression Modelling/2. OLS-Implementation.mp4 21.6 MB
• 2. Ordinary Least Square Regression Modelling/2. OLS-Implementation.vtt 9 KB
• 2. Ordinary Least Square Regression Modelling/3. More on Result Interpretations.mp4 17.1 MB
• 2. Ordinary Least Square Regression Modelling/3. More on Result Interpretations.vtt 9 KB
• 2. Ordinary Least Square Regression Modelling/4. Confidence Interval-Theory.mp4 13.7 MB
• 2. Ordinary Least Square Regression Modelling/4. Confidence Interval-Theory.vtt 6.2 KB
• 2. Ordinary Least Square Regression Modelling/5. Calculate the Confidence Interval in R.mp4 10.2 MB
• 2. Ordinary Least Square Regression Modelling/5. Calculate the Confidence Interval in R.vtt 4.9 KB
• 2. Ordinary Least Square Regression Modelling/6. Confidence Interval and OLS Regressions.mp4 18.6 MB
• 2. Ordinary Least Square Regression Modelling/6. Confidence Interval and OLS Regressions.vtt 8.1 KB
• 2. Ordinary Least Square Regression Modelling/7. Linear Regression without Intercept.mp4 8.3 MB
• 2. Ordinary Least Square Regression Modelling/7. Linear Regression without Intercept.vtt 3.9 KB
• 2. Ordinary Least Square Regression Modelling/8. Implement ANOVA on OLS Regression.mp4 7.3 MB
• 2. Ordinary Least Square Regression Modelling/8. Implement ANOVA on OLS Regression.vtt 3.8 KB
• 2. Ordinary Least Square Regression Modelling/9. Multiple Linear Regression.mp4 14.9 MB
• 2. Ordinary Least Square Regression Modelling/9. Multiple Linear Regression.vtt 7 KB
• 3. Deal with Multicollinearity in OLS Regression Models/1. Identify Multicollinearity.mp4 38.2 MB
• 3. Deal with Multicollinearity in OLS Regression Models/1. Identify Multicollinearity.vtt 16.7 KB
• 3. Deal with Multicollinearity in OLS Regression Models/1.1 Lecture21_multicol1.txt.txt 1.8 KB
• 3. Deal with Multicollinearity in OLS Regression Models/2. Doing Regression Analyses with Correlated Predictor Variables.mp4 12.8 MB
• 3. Deal with Multicollinearity in OLS Regression Models/2. Doing Regression Analyses with Correlated Predictor Variables.vtt 6.6 KB
• 3. Deal with Multicollinearity in OLS Regression Models/3. Principal Component Regression in R.mp4 25.5 MB
• 3. Deal with Multicollinearity in OLS Regression Models/3. Principal Component Regression in R.vtt 11.2 KB
• 3. Deal with Multicollinearity in OLS Regression Models/4. Partial Least Square Regression in R.mp4 17.4 MB
• 3. Deal with Multicollinearity in OLS Regression Models/4. Partial Least Square Regression in R.vtt 7.8 KB
• 3. Deal with Multicollinearity in OLS Regression Models/5. Ridge Regression in R.mp4 18.5 MB
• 3. Deal with Multicollinearity in OLS Regression Models/5. Ridge Regression in R.vtt 7.7 KB
• 3. Deal with Multicollinearity in OLS Regression Models/6. LASSO Regression.mp4 10.8 MB
• 3. Deal with Multicollinearity in OLS Regression Models/6. LASSO Regression.vtt 4.5 KB
• 3. Deal with Multicollinearity in OLS Regression Models/7. Conclusion to Section 3.mp4 5.2 MB
• 3. Deal with Multicollinearity in OLS Regression Models/7. Conclusion to Section 3.vtt 2.2 KB
• 4. Variable & Model Selection/1. Why Do Any Kind of Selection.mp4 10.5 MB
• 4. Variable & Model Selection/1. Why Do Any Kind of Selection.vtt 5.5 KB
• 4. Variable & Model Selection/2. Select the Most Suitable OLS Regression Model.mp4 33.3 MB
• 4. Variable & Model Selection/2. Select the Most Suitable OLS Regression Model.vtt 12.6 KB
• 4. Variable & Model Selection/3. Select Model Subsets.mp4 19.6 MB
• 4. Variable & Model Selection/3. Select Model Subsets.vtt 9.2 KB
• 4. Variable & Model Selection/4. Machine Learning Perspective on Evaluate Regression Model Accuracy.mp4 16.9 MB
• 4. Variable & Model Selection/4. Machine Learning Perspective on Evaluate Regression Model Accuracy.vtt 7.8 KB
• 4. Variable & Model Selection/5. Evaluate Regression Model Performance.mp4 34.9 MB
• 4. Variable & Model Selection/5. Evaluate Regression Model Performance.vtt 15.3 KB
• 4. Variable & Model Selection/6. LASSO Regression for Variable Selection.mp4 8.3 MB
• 4. Variable & Model Selection/6. LASSO Regression for Variable Selection.vtt 4.1 KB
• 4. Variable & Model Selection/7. Identify the Contribution of Predictors in Explaining the Variation in Y.mp4 21.9 MB
• 4. Variable & Model Selection/7. Identify the Contribution of Predictors in Explaining the Variation in Y.vtt 8.6 KB
• 4. Variable & Model Selection/8. Conclusions to Section 4.mp4 3.9 MB
• 4. Variable & Model Selection/8. Conclusions to Section 4.vtt 1.8 KB
• 5. Dealing With Other Violations of the OLS Regression Models/1. Data Transformations.mp4 29 MB
• 5. Dealing With Other Violations of the OLS Regression Models/1. Data Transformations.vtt 12.4 KB
• 5. Dealing With Other Violations of the OLS Regression Models/2. Robust Regression-Deal with Outliers.mp4 16.5 MB
• 5. Dealing With Other Violations of the OLS Regression Models/2. Robust Regression-Deal with Outliers.vtt 7 KB
• 5. Dealing With Other Violations of the OLS Regression Models/3. Dealing with Heteroscedasticity.mp4 18.3 MB
• 5. Dealing With Other Violations of the OLS Regression Models/3. Dealing with Heteroscedasticity.vtt 7.1 KB
• 5. Dealing With Other Violations of the OLS Regression Models/4. Conclusions to Section 5.mp4 2.9 MB
• 5. Dealing With Other Violations of the OLS Regression Models/4. Conclusions to Section 5.vtt 1.2 KB
• 6. Generalized Linear Models(GLMs)/1. What are GLMs.mp4 11.8 MB
• 6. Generalized Linear Models(GLMs)/1. What are GLMs.vtt 5.4 KB
• 6. Generalized Linear Models(GLMs)/2. Logistic regression.mp4 39.1 MB
• 6. Generalized Linear Models(GLMs)/2. Logistic regression.vtt 16.1 KB
• 6. Generalized Linear Models(GLMs)/3. Logistic Regression for Binary Response Variable.mp4 26.4 MB
• 6. Generalized Linear Models(GLMs)/3. Logistic Regression for Binary Response Variable.vtt 9.5 KB
• 6. Generalized Linear Models(GLMs)/4. Multinomial Logistic Regression.mp4 15.4 MB
• 6. Generalized Linear Models(GLMs)/4. Multinomial Logistic Regression.vtt 15.4 MB
• 6. Generalized Linear Models(GLMs)/5. Regression for Count Data.mp4 14.1 MB
• 6. Generalized Linear Models(GLMs)/5. Regression for Count Data.vtt 6.2 KB
• 6. Generalized Linear Models(GLMs)/6. Goodness of fit testing.mp4 8.9 MB
• 6. Generalized Linear Models(GLMs)/6. Goodness of fit testing.vtt 4.1 KB
• 6. Generalized Linear Models(GLMs)/7. Conclusions to Section 6.mp4 5.8 MB
• 6. Generalized Linear Models(GLMs)/7. Conclusions to Section 6.vtt 2.4 KB
• 7. Working with Non-Parametric and Non-Linear Data/1. Work With Non-Parametric and Non-Linear Data.html 669 B
• Udemy Course downloader.txt 94 B

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