Text Classification
Classification (spam, topic, sentiment) is the workhorse NLP task and the fastest way to turn text features into something useful.
Learn it
You will combine your preprocessing and TF-IDF/embedding features with classifiers like logistic regression or linear SVM in scikit-learn, then evaluate with a train/test split, a confusion matrix, and F1. You will learn to read a classification report and address imbalance.
By the end you’ll be able to
- Build an end-to-end classifier from vectorized text
- Evaluate with accuracy, precision/recall, F1; diagnose imbalance
Free resources
- Kaggle — NLP with Disaster Tweets (Getting Started)(opens in a new tab)Start here
Beginner classification competition with tutorial + public notebooks.
Free3-4 hours - scikit-learn — Feature Extraction from Text(opens in a new tab)
Reference for wiring vectorizers into a classification pipeline.
Free30 min
Practice
Train a logistic-regression classifier on a labelled review dataset and report a confusion matrix plus per-class F1.
Build it — your output
A trained baseline classifier with an evaluation report and 3 misclassified examples you analyze.
Prove it — check yourself
You’re ready to move on when you can honestly say yes to each:
- Explain precision vs. recall for an imbalanced class
- Justify your train/validation/test split choices
- Interpret a confusion matrix to spot the worst class
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 "Text 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 "Text Classification" (my goal: build an end-to-end classifier from vectorized text), 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 "Text 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 "Text 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 "Text 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.