capability~150 mindifficulty

Classification

Predicting categories (spam/not-spam, disease/healthy) is the most common ML task in the real world.

1

Learn it

2

Practice

Train a classifier on the Titanic dataset to predict survival, then read its confusion matrix.

3

Build it — your output

A trained classifier for a real yes/no question, with accuracy and a confusion matrix explained in words.

4

Prove it — check yourself

You’re ready to move on when you can honestly say yes to each:

  • Can you train a classifier?
  • Can you read a confusion matrix?
  • Do you understand class probabilities?

Do it with AI

Use a free AI tool as your tutor and pair-programmer. Copy a prompt below into Claude, ChatGPT, or Gemini (for building, try Cursor or Copilot).

The habit: Try it yourself first — a little struggle is where the learning actually happens. Then ask for a hint before the answer — never copy blindly.

  • Understand itClaude / ChatGPT / Gemini

    I'm a beginner learning "Classification". Explain it in simple terms with a real-world analogy, then ask me ONE question to check my understanding — don't reveal the answer.

  • PracticeClaude / ChatGPT / Gemini

    Give me 3 short practice problems on "Classification" (my goal: train a classifier), from easy to hard. Don't include the solutions yet — I'll try them first, then ask you to check.

  • Get unstuckClaude / ChatGPT / Gemini

    I'm stuck on this exercise about "Classification": [paste your attempt here]. Give me ONE small hint to move forward — do NOT give me the full solution.

  • Build & reviewCursor / Copilot

    Here is my work for a "Classification" task: [paste your code or answer]. Review it: point out what's wrong and WHY, and suggest improvements — but let me make the fixes myself.

  • Prove itClaude / ChatGPT / Gemini

    Quiz me on "Classification". Ask me 5 questions one at a time, wait for my answer each time, then tell me if I'm right and briefly why.

My notes