This project focuses on classifying SMS messages as spam or ham using machine learning. The repository documents the workflow using a Jupyter notebook.
✔ Data loading
✔ Data cleaning
✔ Exploratory Data Analysis (EDA)
✔ Text preprocessing
🚧 Feature engineering, and modeling will be added next.
spam_classification.ipynb– Complete EDA and analysisspam.csv– SMS spam dataset
- Python
- Pandas
- Matplotlib
- Seaborn
- NLTK