Machine Learning

An end-to-end machine learning engineering journey using running-readiness prediction. Build leakage-safe data pipelines, train and evaluate classifiers, engineer reliable features, develop PuTorch models, and deploy verified inference APIs.

Created by Ahmed Zubairu.

Projects in this learnlist

1. Build a Group-Safe Data Handoff
2. Train a Group-Safe Classifier
3. Evaluate a Running-Readiness Classifier
4. Build Leakage-Resistant Features
5. Build a Leakage-Aware PyTorch MLP
6. Fine-Tune a Leakage-Safe PyTorch Encoder
7. Deploy a Verified Readiness Model