It's basically a kaggle competition (https://www.kaggle.com/c/house-prices-advanced-regression-techniques/overview). The goal of this competition is to predict the housing prices considering different parameters. Here, 3 popular algorithms are used:
- Linear Regression
- Gradient Boosted Decission Tree
- Traditional Decission Tree.
train.csv: This file contains the training data.
test.csv: This file contains the test data.
house_pricing.ipynb: This is the notebook that contains the main script.
final_result.csv: File containing the predictions made by each algorithm.