A Kaggle Journey: Predicting House Prices
Introduction
Participating in Kaggle competitions is a great way to learn machine learning hands-on. This project focused on house price prediction, starting from scratch and achieving a rank of 22 out of 4891 teams on the leaderboard.
The Journey
- Learning: Immersed in machine learning fundamentals over 14 days in Yunshu Lab.
- Model Implementation: Explored Linear Regression, Random Forest, XGBoost, and Neural Networks.
- Optimization: Enhanced performance through hyperparameter tuning and feature engineering.
Achievements
This journey provided invaluable experience in predictive modeling and competitive problem-solving.