Real-World ML Case Studies & Capstone — Machine Learning Roadmap
Applying the full pipeline — data to deployed model — on realistic problems
Steps in Real-World ML Case Studies & Capstone
- Case Study: Customer Churn Prediction — advanced · Predicting which customers are likely to leave, using classification and interpretability
- Case Study: Fraud Detection with Imbalanced Data — advanced · Detecting rare fraudulent transactions among overwhelmingly legitimate ones
- Case Study: Recommendation System Basics — advanced · Collaborative filtering and content-based approaches to recommending items
- Case Study: Time Series Forecasting — advanced · Forecasting future values using historical trends and seasonality
- Capstone: End-to-End ML Project — advanced · Take a real dataset from raw data through a deployed, monitored model
Part of
- Machine Learning roadmap — the full learning path