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Full stack ML application which classifies b/w ham and spam short message service / SMS. The model is based on Naive Bayes algorithm.

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yasharma2301/SMS_Classification

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SMS_Classification

This project classifies b/w ham and spam short message service / SMS. The model is based on Naive Bayes algorithm.

Link to woring project: https://sms-classifier-ml.herokuapp.com/

Problem Statement

The objective of the dataset is to diagnostically classifly b/w spam and ham messages. The dataset for this problem statement can be found here https://archive.ics.uci.edu/ml/datasets/sms+spam+collection

Tech Stack

Target Stack
Front end HTML+CSS
Algorithm Python
Server Flask

Sneak Peek

Results

The accuracy score for this model is 0.985.

Getting started

After cloning the repo you can run this command to fetch all requirements. Note that you need to have Python installed on your system.

pip install -r requirements.txt

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Full stack ML application which classifies b/w ham and spam short message service / SMS. The model is based on Naive Bayes algorithm.

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