Machine Learning

Machine Learning

Machine learning is how software learns from data. Instead of writing rules that tell a program what to do, you give it examples and it figures out the patterns. A spam filter doesn't have a list of spam words. It learned what spam looks like from millions of emails.

Introduction Setup

Churn Prediction: Classical ML Full Loop

Artifact Creation Pipeline: Churn Prediction Phase 2

Infrastructure Foundation: Serving and Experiment Tracking

Data Leakage and PyTorch Training

Docker Containerization and Production Pipelines

Pipelines, Transfer Learning, and Fairness

CI/CD Pipelines and Drift Detection

Feature Versioning and Production Monitoring

Cloud Deployment and Multi-Service Orchestration

MCP Connection and Cost Monitoring

Project Memory and Evaluation Workflow Encoding