Linear-Regression-in-R

Involves basics of Machine Learning, Statistical Learning and Prediction Analysis in R.

Name		Name	Last commit message	Last commit date
Cross_Validation_and_Bootstrap.R		Cross_Validation_and_Bootstrap.R
Helper Functions.R		Helper Functions.R
L10 - Smoothers.R		L10 - Smoothers.R
L10.R		L10.R
L11.R		L11.R
L12 - Neural Net Prostate.R		L12 - Neural Net Prostate.R
L12.R		L12.R
L3 - Prostate Data Resampling.R		L3 - Prostate Data Resampling.R
L3-2.R		L3-2.R
L3-Measuring Error.R		L3-Measuring Error.R
L4 - Extensions of variables.R		L4 - Extensions of variables.R
L4&5 - Revised II.R		L4&5 - Revised II.R
L5 - Variable Selection Algorithms.R		L5 - Variable Selection Algorithms.R
L6 - Ridge LASSO Prostate.R		L6 - Ridge LASSO Prostate.R
L6 Selection bias and shrinkage (HWK Version).R		L6 Selection bias and shrinkage (HWK Version).R
L6.R		L6.R
L7 - Principal Comp and Partial LS.R		L7 - Principal Comp and Partial LS.R
L7.R		L7.R
L8 - Step Functions.R		L8 - Step Functions.R
L9.R		L9.R
LInear_Regression.R		LInear_Regression.R
LR_Air_quality_Dataset.R		LR_Air_quality_Dataset.R
Multiple_Linear_Regression.R		Multiple_Linear_Regression.R
README.md		README.md
Read Wine Data - Categorical.R		Read Wine Data - Categorical.R
Read Wine Data - Remove Duplicates.R		Read Wine Data - Remove Duplicates.R
Rplot.png		Rplot.png
UnderstandingBiasVarianceTradeOff.R		UnderstandingBiasVarianceTradeOff.R
Wine Quality.csv		Wine Quality.csv

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