Competition - House Prices - Advanced Regression Techniques
Done:
- Data preprocessing
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Feature engineering
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Models training: GradientBoosting, XGBoost, LGBM, Catboost
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Hyperparameters tuning with Optuna
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Feature analysis
- Clustering with a KMeans, AgglomerativeClustering algorithm and dimension reduction techniques: PCA, t-SNE and UMAP
- Best result: TOP 2% (160th place out of 5172) with a RMSLE metric 0.11851
