house_pricing_LGBM_Regression

Code for Kaggle beginners competition "House Price - Advanced Regression Techniques"

Simple Neural Networks works not so good, for regression quests, when target values have a big gaps To predict price i used LigthGBM Regression, that works as decision tree It better to use decision tree, because dataset have a lot of features (over 70) and it makes high-dims. Result: 0.86676; top 30%