Context
This notebook was created to participate in the Kaggle competition "House prices: Advanced Regression Technique".
Objective
The goal of the competition was to predict the sale prices of a set of houses.
Results
On July 26th of 2018, my model was ranked within the top 23%.
Litterature
This notebook was my very first attempt to build a ML model. I've learnt many things reading other models, such as:
- Comprehensive data exploration with Python, by Pedro Marcelino
- A study on regression applied to the Ames dataset, by Julien Cohen-Solal
- Regularized Linear Models, by Alexandru Papiu
- XGboost tuning, by Srini