https://github.com/serhatderya/house-prices---advanced-regression-techniques

This machine learning model was developed for "House Prices - Advanced Regression Techniques" competition in Kaggle by using several machine learning models such as Random Forest, XGBoost and LightGBM.
https://github.com/serhatderya/house-prices---advanced-regression-techniques

ai artificial-intelligence data-science ju jupyter-notebook lightgbm lightgbm-regressor machine-learning machinelearning prediction python random-forest random-forest-regression regression scikit-learn xgboost xgboost-regression

Last synced: 3 months ago
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This machine learning model was developed for "House Prices - Advanced Regression Techniques" competition in Kaggle by using several machine learning models such as Random Forest, XGBoost and LightGBM.

• Host: GitHub
• URL: https://github.com/serhatderya/house-prices---advanced-regression-techniques
• Owner: SerhatDerya
• Created: 2022-02-05T05:40:43.000Z (over 3 years ago)
• Default Branch: main
• Last Pushed: 2022-02-05T06:47:21.000Z (over 3 years ago)
• Last Synced: 2025-01-03T18:29:34.122Z (5 months ago)
• Topics: ai, artificial-intelligence, data-science, ju, jupyter-notebook, lightgbm, lightgbm-regressor, machine-learning, machinelearning, prediction, python, random-forest, random-forest-regression, regression, scikit-learn, xgboost, xgboost-regression
• Language: Jupyter Notebook
• Homepage:
• Size: 50.8 KB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
## House Prices - Advanced Regression Techniques

This machine learning model was developed for "House Prices - Advanced Regression Techniques" competition in Kaggle by using several machine learning models such as Random Forest, XGBoost and LightGBM.

### Note:

Cross validation phases are given as comment with their results. They can be uncommented and tested again.