GitHub - Charu-2718/Spam-Classifier: Utilizing Natural Language Processing (NLP) techniques and machine learning, this project develops a spam detection system. It preprocesses text data, including tokenization, stemming, and TF-IDF vectorization. A Logistic Regression model is trained to classify messages as either 'spam' or 'ham' with high accuracy and precision.

Branches Tags

Name		Name	Last commit message	Last commit date
Latest commit History 7 Commits
spam_app		spam_app
README.md		README.md
main.ipynb		main.ipynb
nlp.pptx		nlp.pptx
spam.csv		spam.csv

Repository files navigation

About

Utilizing Natural Language Processing (NLP) techniques and machine learning, this project develops a spam detection system. It preprocesses text data, including tokenization, stemming, and TF-IDF vectorization. A Logistic Regression model is trained to classify messages as either 'spam' or 'ham' with high accuracy and precision.

Readme