Kaggle-House-Price-Prediction

The goal of this Kaggle project is to predict house prices using Advanced Regression models. Our Project placed at position of 180 out of 5K teams (Top 4%) with RMSLE score of 0.11899. We used ensemble learning and hyperparameter optimization with 6 ML models. ML stack: Lasso regression, Ridge regression, SVR, lgbm, gbm and xgboost. Data folder contains all the training and testing data, the solution.ipynb contains the code.