Madras Academy
Home / Projects / Spam Email Classifier
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
WhatsApp Now
Spam Email Classifier

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
W WhatsApp