Price Prediction

This is a project in Kaggle competition House Prices - Advanced Regression Techniques. The notebook includes feature engineering and blended model prediction.

feature engineering

• creating visualizations, tabular views
• dealing missing values, duplicates
• cheking skewness and outliers
• transforming string/category columns

Blended model

• trying Ridge, Lasso, ElasticNet, XGBRegressor, Random Forest Regressor, Gradient Boosting Regressor, LGBMRegressor
• predicting by blended model