Milestone 3: Classic Machine Learning

🟧 Milestone 3: Classic Machine Learning

Master the algorithms that solve 80% of business problems using the standard Scikit-Learn workflow.

🚀 The Senior’s Perspective

• Course ML-300: The Senior ML Workflow: How to build models that survive in production.

📚 Slow-Paced Deep Dives (University Modules)

• Module 1: Linear Regression (The Trend Finder): ML-301. Predicting prices and salaries.
• Module 2: Logistic Regression (The Decision Boundary): ML-302. Deciding Yes or No.
• Module 3: Decision Trees (The Flowchart): ML-303. Building logical decision paths.
• Module 4: Random Forest (The Wisdom of the Crowd): ML-304. Ensemble learning and voting.

🥅 Milestone Goals

1. Distinguish between Regression and Classification.
2. Evaluate models using Precision-Recall and F1-Score.
3. Mitigate Overfitting in decision trees using pruning and forests.
4. Scale models from local notebooks to Production Modules.

:::tip Quick Start Check out the Classic ML Overview for a high-level summary of the basics. :::