suryanktiwari/Linear-Regression-and-K-fold-Cross-Validation

Implementing Linear Regression for various degrees and computing RMSE with k fold cross validation, all from scratch in python.

Linear Regression and K fold Cross Validation

Implementation of Linear Regression and K fold cross validation in python from scratch on Boston Housing Dataset.

• Performed Linear Regression on all features and computed the RMSE for training and testing set.
• From the feature LSTAT, the feature MEDV was predicted with varying degrees of polynomial fits.
• RMSE for various degrees computed with k fold cross validation.
• Visualization of graphs for data points vs the polynomials observed.

Detailed information present in the pdf.