Linear Regression Practice using scikit-learn (Kaggle House Price Prediction)

OLS, KNN, Ridge, LASSO, FSR, BSR, with cross validation

It is also be a good practice for dataset splitting and cross validation.

It is a practice for feature selection (such as with bsr and fsr regression)

the Jupyter notebook summarizes the training report of multiple approaches.

Dependencies

scikit-learn
mlxtend
statsmodels
numpy
pandas
matplotlib
python