Kaggle을 처음 접하는 사람들을 위한 문서

For someone who is new at Kaggle

This is my first Machine Learning Project. The project employs a variety of machine learning models, including Random Forests, Gradient Boosted Trees, and Neural Networks, to predict survival. Techniques for data cleaning, feature engineering, and model tuning are thoroughly documented in the Jupyter notebooks.

This is my third Machine Learning Project. This repository hosts the code and resources for the Nepal 2015 Earthquake building damage predictor, a part of the DrivenData Competitions. The project aims to predict the level of damage to buildings caused by the 2015 Gorkha earthquake in Nepal based on aspects like building structure and location.

ipynb for FestoCodingChallenge2022 (https://2022.coding-challenge.festo.com/)