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Machine Learning Basics Practical Linear Regression in R
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[TutsNode.com] - Machine Learning Basics Practical Linear Regression in R (Size: 751.74 MB) (Files: 84)
[TutsNode.com] - Machine Learning Basics Practical Linear Regression in R
4. More types of linear regression models in R
6. GLM Preview Logistic Regression Model & Accuracy Assessment.mp4
6. GLM Preview Logistic Regression Model & Accuracy Assessment.srt
5. ANOVA - Categorical variables with more than two levels in linear regressions.srt
1. Lab Multiple linear regression - model estimation in R.srt
3. Lab Multiple linear regression with interaction in R.srt
8. Lab Receiver operating characteristic (ROC) curve and AUC.srt
4. Lab Regression with Categorical Variables Dummy Coding Essentials in R.srt
1.1 029_MultipleLinearRegression.R
2. Lab Multiple linear regression - prediction in R.srt
6.1 023_ClassificationAccuracy.R
7. Compare the model accuracy (or any other metric) using thresholds of 0.1 and 0.9..html
8.1 024_ROC.R
3.1 030_MultipleLinearRegression_interactions.R
5.1 032_ANOVA.R
4.1 031_DummyVariables.R
9. Your final coding exercise.html
1. Lab Multiple linear regression - model estimation in R.mp4
5. ANOVA - Categorical variables with more than two levels in linear regressions.mp4
3. Lab Multiple linear regression with interaction in R.mp4
8. Lab Receiver operating characteristic (ROC) curve and AUC.mp4
4. Lab Regression with Categorical Variables Dummy Coding Essentials in R.mp4
2. Lab Multiple linear regression - prediction in R.mp4
1. Introduction
2. Introduction to Regression Analysis and Linear Regression.srt
1. Introduction.srt
4. What is Machine Leraning and it's main types.srt
3. Introduction to Regression Analysis.html
5. Machine Learning Types.html
2. Introduction to Regression Analysis and Linear Regression.mp4
4. What is Machine Leraning and it's main types.mp4
1. Introduction.mp4
2. Software used in this course R-Studio and Introduction to R
3. Lab Get started with R in RStudio.srt
4. What is the latest version of RStudio and R.html
2. How to install R and RStudio in 2020.srt
1. What is R and RStudio.srt
3. Lab Get started with R in RStudio.mp4
2. How to install R and RStudio in 2020.mp4
1. What is R and RStudio.mp4
3. Linear Regression in R
2. Lab your first linear regression model.srt
5. Linear Regression Diagnostics.srt
1. Getting started with linear regression.srt
9. Prediction model evaluation with data split out-of-sample RMSE.srt
8. Lab Predict with linear regression model & RMSE as in-sample error.srt
2.1 018_LM_diamonds.R
3. Correlation in Regression Analysis in R Lab.srt
3.1 020_CorrelationLinear.R
4. How to know if the model is best fit for your data - An overview.srt
5.1 020_LM_Diagnosis.R
6. AIC and BIC.srt
6.1 021_AIC.R
7. Evaluation of Performance of Regression-based Prediction Model.srt
8.1 019_RMSE_LM.R
9.1 022_RegressionModelValidation.R
2. Lab your first linear regression model.mp4
5. Linear Regression Diagnostics.mp4
9. Prediction model evaluation with data split out-of-sample RMSE.mp4
8. Lab Predict with linear regression model & RMSE as in-sample error.mp4
1. Getting started with linear regression.mp4
3. Correlation in Regression Analysis in R Lab.mp4
4. How to know if the model is best fit for your data - An overview.mp4
6. AIC and BIC.mp4
7. Evaluation of Performance of Regression-based Prediction Model.mp4
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