target-encoding

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Here are 11 public repositories matching this topic...

hiflyin / Feature-Stuff

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A python machine learning library for advanced feature extraction and interpretation.

python feature-extraction target-encoding

Updated Jun 29, 2018
Python

Nikolay-Lysenko / dsawl

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A set of tools for machine learning (for the current day, there are active learning utilities and implementations of some stacking-based techniques).

epsilon-greedy active-learning stacking categorical-features out-of-fold target-encoding

Updated Aug 27, 2023
Python

KhajaRaheelAhmedMohiuddin / airfare-prediction-system

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ML system predicting Indian domestic airfares (R2 0.9165, 94.1% accuracy) and recommending cost-effective bookings, with validated ranking reliability

Updated Jul 29, 2026
Python

tonumayworkspace-creator / kaggle-diabetes-competition

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Production-ready ML pipeline demonstrating feature engineering, hyperparameter tuning, stacking ensembles and pseudo-label learning.

data-science machine-learning tabular-data kaggle xgboost lightgbm ensemble-learning stacking catboost pseudo-labeling target-encoding diabetes-prediction optuna

Updated Dec 31, 2025
Python

paritoshkc / Income_predictor

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machine-learning random-forest linear-regression python3 catboost target-encoding

Updated Oct 20, 2019
Python

to-nakanishi / Findy_auto_analyze_home_credit_default_risk

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Home Credit Risk Prediction (AUC 0.794 / Private LB Top 15%)

python machine-learning kaggle smoothing lightgbm ensemble-learning feature-engineering business-analytics catboost out-of-fold target-encoding shap optuna threshold-optimization

Updated May 5, 2026
Python

jennabeachcodes / FreightRateChallenge

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Machine learning pipeline for predicting trucking load rates from lane, equipment, market, and temporal features, with training, prediction, and submission validation.

python data-science machine-learning scikit-learn regression pandas feature-engineering gradient-boosting price-prediction target-encoding

Updated Aug 2, 2026
Python

nurlan-nurlybay / antifraud_system_v2

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Hybrid stacking system: [MLP, VAE, LTSM XGBoost, LightGBM, CatBoost, RandomForest] -> LogReg

machine-learning deep-learning pytorch pca feature-engineering antifraud target-encoding ensemble-models focal-loss shap optuna ablation-study walk-forward-validation

Updated Apr 22, 2026
Python

gshashank84 / ResponseEncoding

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Encode Categorical Features based on Target/Class

encoding categorical-variables categorical-features target-encoding response-encoding categorical-encoding

Updated May 30, 2021
Python

Hook12aaa / kaggle-bank-churn-ps-s4e1

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Bank churn prediction (PS S4E1) -- created by auto-model-trainer, a Claude Code plugin for autonomous ML training. Public LB ROC-AUC 0.89102.

machine-learning kaggle classification ensemble target-encoding autonomous-ml auto-model-trainer

Updated Jul 4, 2026
Python

Cincere19 / kaggle-diabetes-competition

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🩺 Predict diabetes risk using an end-to-end machine learning pipeline, featuring advanced models and techniques for superior accuracy in the Kaggle competition.

python competition data-science machine-learning tabular-data kaggle kaggle-competition xgboost lightgbm ensemble-learning stacking xgboost-model catboost pseudo-labeling target-encoding diabetes-prediction optuna histgram-gradient-boosting

Updated Aug 13, 2026
Python

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