Scikit-Learn
maaz7409Machine LearningUsed in 4 projects, 2 notebooks
Classical machine learning in Python.
Used in
- E-Commerce Customer Churn Prediction
Stacking ensemble that predicts which e-commerce customers will churn, deployed with a live app.
churn_predictor.py · stack: Scikit-Learn
- Automated Email Classification Engine
SVM spam/ham classifier with custom parsing and zero train/test leakage.
email_classifier.py · stack: Scikit-Learn
- EHR Patient Readmission
Predicting 30-day hospital readmission from electronic health records.
ehr_readmission.py · stack: Scikit-Learn
- Amazon ML Challenge 2026
Team solution for business entity resolution, ranked 287 of ~25,000 teams.
amazon_ml_challenge.py · stack: Scikit-Learn
- DeepONet Surrogate for 1D Diffusion
Learning the operator that maps a diffusion coefficient D(x) to the full solution u(x, t).
deeponet_diffusion.ipynb · notebook: Scikit-Learn
- SINDy vs. ISINDy on the Lorenz System
Recovering the Lorenz equations from data with sparse regression, and making it robust to noise.
lorenz_sindy.ipynb · notebook: Scikit-Learn