manel15279 / ai-spam-classifier

A SPAM classifier developed in Python, utilizing Machine Learning and Deep Learning algorithms like SVM, KNN, Logistic Regression, Neural Networks, Naive Bayes, and LSTM.

AI Spam Classifier

Description

This project is a spam classifier implemented in Python, utilizing Machine Learning and Deep Learning algorithms such as Support Vector Machine (SVM), K-Nearest Neighbors (KNN), Logistic Regression, Neural Networks, Naive Bayes, and LSTM. The classifier effectively distinguishes between spam and non-spam emails by leveraging Natural Language Processing (NLP) preprocessing techniques with NLTK. The project focuses on evaluating the performance of each algorithm based on accuracy and execution time.

Used Libraries

• BeautifulSoup4
• Matplotlib
• NLTK
• NumPy
• Pandas
• Scikit-learn
• Torch