https://github.com/otuemre/housepricingml
A machine learning project predicting house prices using regression models. Covers data preprocessing, feature engineering, and model comparison to achieve accurate results. Developed for a Kaggle competition, focusing on effective ML workflows and model interpretability.
https://github.com/otuemre/housepricingml
eda encoding evaluation-metrics kaggle-competition lightgbm-regressor machine-learning matplotlib-pyplot neural-networks numpy pandas preprocessing python ridge-regression scikit-learn seaborn tensorflow xgboost-regression
Last synced: 3 months ago
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A machine learning project predicting house prices using regression models. Covers data preprocessing, feature engineering, and model comparison to achieve accurate results. Developed for a Kaggle competition, focusing on effective ML workflows and model interpretability.
- Host: GitHub
- URL: https://github.com/otuemre/housepricingml
- Owner: otuemre
- License: mit
- Created: 2024-11-14T17:48:28.000Z (7 months ago)
- Default Branch: master
- Last Pushed: 2025-01-09T00:18:18.000Z (5 months ago)
- Last Synced: 2025-01-29T19:24:44.159Z (5 months ago)
- Topics: eda, encoding, evaluation-metrics, kaggle-competition, lightgbm-regressor, machine-learning, matplotlib-pyplot, neural-networks, numpy, pandas, preprocessing, python, ridge-regression, scikit-learn, seaborn, tensorflow, xgboost-regression
- Language: Jupyter Notebook
- Homepage:
- Size: 11.6 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md