Projects

Updated 10 months ago

https://github.com/business-science/modeltime.ensemble • Rank 16.1 • Science 13%

Time Series Ensemble Forecasting

ensemble ensemble-learning forecast forecasting modeltime r-package stacking stacking-ensemble tidymodels time time-series timeseries

Updated 10 months ago

https://github.com/ahmedshahriar/customer-churn-prediction • Science 13%

Extensive EDA of the IBM telco customer churn dataset, implemented various statistical hypotheses tests and Performed single-level Stacking Ensemble and tuned hyperparameters using Optuna.

binary-classification catboost classification-models customer-churn-prediction ensemble-classifier hyperparameter-optimization kaggle lightgbm optuna pandas-python scipy stacking-ensemble xgboost

Updated 10 months ago

https://github.com/ahmedshahriar/telco-customer-churn-prediction-streamlit-app • Science 13%

This streamlit app predicts the churn rate using Gradient Boosting models (XGBoost, Catboost, LightGBM) on IBM Customer Churn Dataset

binary-classification binary-classifiers data-science jupyter-notebook machine-learning pandas python scikit-learn sklearn stacking-ensemble streamlit streamlit-webapp

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Open Source Science

https://github.com/business-science/modeltime.ensemble • Rank 16.1 • Science 13%

https://github.com/ahmedshahriar/customer-churn-prediction • Science 13%

https://github.com/ahmedshahriar/telco-customer-churn-prediction-streamlit-app • Science 13%