Project 6: Spam Classfication using NLP and Naive Baiyes
-
Preprocessed the text data to extract relevant features, including word frequencies and document frequency.
-
Implemented Naive Bayes and Natural Language Processing algorithms to classify the messages as spam or not spam based on these features.
-
The model achieved high accuracy in identifying spam messages.
-
The project is useful for email spam filtering and other text classification tasks.
-
The project demonstrates the effectiveness of machine learning and NLP techniques in addressing real-world problems.
