This repository contains code to solve Kaggle's Mobile Price Classification Problem.
- src
main.py
: This script runs the final hyperparameter tuned model on the full training set, generates predictions for the test set, and saves the test set with predictions in the output folder.
- data
- input: This folder contains the training (
'train.csv'
) and test ('test.csv'
) sets provided by Kaggle. - output: This folder contains the final predictions generated for the test set (
'preditions.csv'
).
- playground
explore_data.ipynb
: Jupyter Notebook for EDA, feature engineering, model-fitting, cross-validation and hyperparameter tuning on the training data.