House_Prices-Regression_technique

Regression techniques are used:

1. Linear Regeression
2. Random Forest
3. XGBoost

For searching the set of best parameters RandomCVSearch is applied.

For data exploration and visualization data_exploration.ipynb file contains the code. data_preprocessed() returns the processed features and labels and is call in three models. r2 score with this processed is increased.