COMPANY NAME: CODTECH IT SOLUTIONS
NAME: MADAGALA ROHIT KUMAR
INTERN ID: CT08LLQ
DOMAIN: PYTHON PROGRAMMING
DURATION: 4 WEEKS
MENTOR: NEELA SANTOSH
Spam Classification using Naive Bayes
Overview
This project implements a spam classification system using the Naive Bayes algorithm. The model is trained on a dataset containing labeled text messages (spam or ham) and uses text vectorization techniques to convert textual data into numerical features for classification.
Dataset
The dataset is expected to be a CSV file named spam_dataset.csv, containing the following columns:
text: The message content
label: The classification label (spam or ham)
#output
