AI & MACHINE LEARNING
Spam Email Classifier
Build a text-classification model that labels messages as spam or legitimate.
LevelCollege / Intermediate
Duration3–4 Weeks
Components₹500–₹2,000 CodingMedium

Project overview
Build a text-classification model that labels messages as spam or legitimate.
Build a text-classification model that labels messages as spam or legitimate.
Components / materials required
✓Laptop
✓Python
✓Scikit-learn
✓Text dataset
What the project demonstrates
✓Text cleaning
✓Feature extraction
✓Classification
✓Precision/recall evaluation
Suggested build plan
01
Dataset prep
Clean and label text.
02
Vectorisation
Use bag-of-words or TF-IDF.
03
Training
Fit a baseline classifier.
04
Evaluation
Review false positives/negatives.
Learning outcomes
✓Understand NLP preprocessing
✓Use TF-IDF
✓Train text classifiers
✓Interpret precision and recall
