Predicting_real_estate_prices_using_scikit Learn
Predicting Amsterdam house / real estate prices using Ordinary Least Squares-, XGBoost-, KNN-, Lasso-, Ridge-, Polynomial-, Random Forest-, and Neural Network MLP Regression (via scikit-learn)
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
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| Allstate Kaggle Competition ML Capstone Project | ||||||||||
| Predicting_real_estate_prices_using_scikit Learn | 59 | 5 years ago | Python | |||||||
| Predicting Amsterdam house / real estate prices using Ordinary Least Squares-, XGBoost-, KNN-, Lasso-, Ridge-, Polynomial-, Random Forest-, and Neural Network MLP Regression (via scikit-learn) | ||||||||||
| Mljar Examples | 55 | 5 months ago | 3 | apache-2.0 | Jupyter Notebook | |||||
| Examples how MLJAR can be used | ||||||||||
| Rosetta_recsys2019 | 42 | 4 years ago | apache-2.0 | Python | ||||||
| The 4th Place Solution to the 2019 ACM Recsys Challenge by Team RosettaAI | ||||||||||
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