🎯 Goal

Build a solid ML foundation with hands-on projects in 12 weeks.

🧠 Skill Breakdown

• Math review
• Regression & classification
• Model evaluation
• Trees & ensembles
• Neural net basics

📅 Curriculum Plan

Week 1: Math refresh

• Objective: Concept + small notebook.
• Practical Tasks:
  • Read core chapter
  • Notebook from scratch
  • Compare with sklearn
• Expected Outcome: Solid intuition + reusable notebook.

Week 2: Regression

• Objective: Concept + small notebook.
• Practical Tasks:
  • Read core chapter
  • Notebook from scratch
  • Compare with sklearn
• Expected Outcome: Solid intuition + reusable notebook.

Week 3: Classification

• Objective: Concept + small notebook.
• Practical Tasks:
  • Read core chapter
  • Notebook from scratch
  • Compare with sklearn
• Expected Outcome: Solid intuition + reusable notebook.

Week 4: Eval & validation

• Objective: Concept + small notebook.
• Practical Tasks:
  • Read core chapter
  • Notebook from scratch
  • Compare with sklearn
• Expected Outcome: Solid intuition + reusable notebook.

Week 5: Trees

• Objective: Concept + small notebook.
• Practical Tasks:
  • Read core chapter
  • Notebook from scratch
  • Compare with sklearn
• Expected Outcome: Solid intuition + reusable notebook.

Week 6: Ensembles

• Objective: Concept + small notebook.
• Practical Tasks:
  • Read core chapter
  • Notebook from scratch
  • Compare with sklearn
• Expected Outcome: Solid intuition + reusable notebook.

Week 7: Feature eng

• Objective: Concept + small notebook.
• Practical Tasks:
  • Read core chapter
  • Notebook from scratch
  • Compare with sklearn
• Expected Outcome: Solid intuition + reusable notebook.

Week 8: NN basics

• Objective: Concept + small notebook.
• Practical Tasks:
  • Read core chapter
  • Notebook from scratch
  • Compare with sklearn
• Expected Outcome: Solid intuition + reusable notebook.

Week 9: CNN intro

• Objective: Concept + small notebook.
• Practical Tasks:
  • Read core chapter
  • Notebook from scratch
  • Compare with sklearn
• Expected Outcome: Solid intuition + reusable notebook.

Week 10: NLP intro

• Objective: Concept + small notebook.
• Practical Tasks:
  • Read core chapter
  • Notebook from scratch
  • Compare with sklearn
• Expected Outcome: Solid intuition + reusable notebook.

Week 11: Project sprint

• Objective: Concept + small notebook.
• Practical Tasks:
  • Read core chapter
  • Notebook from scratch
  • Compare with sklearn
• Expected Outcome: Solid intuition + reusable notebook.

Week 12: Ship & write-up

• Objective: Concept + small notebook.
• Practical Tasks:
  • Read core chapter
  • Notebook from scratch
  • Compare with sklearn
• Expected Outcome: Solid intuition + reusable notebook.

🚀 Final Project

A signature ML project: pick a domain, build a model, write a clear notebook + blog post explaining your decisions.

📚 Books & Long-Form Reading

• A canonical book or course in this field

👥 Communities to Join

• Active subreddit, Discord or forum for this topic

🔁 Progress Tracking

• Weekly self-check questions and a clear "ready to move on" criterion