This repo contains code for predicting house prices using advanced regression techniques. The model is implemented using XGBoost which is a popular gradient boosting algorithm.
The dataset used in this project is sourced from the Kaggle competition House Prices - Advanced Regression Techniques. It consists of various features related to residential homes and their corresponding sale prices. The dataset is split into training and testing sets for model training and evaluation.
train.csv: Training dataset containing features and sale prices.test.csv: Testing dataset for making predictions.