A Natural Language Processing with SMS Data to predict whether the SMS is Spam/Ham with various ML Algorithms like multinomial-naive-bayes,logistic regression,svm,decision trees to compare accuracy and using various data cleaning and processing techniques like PorterStemmer,CountVectorizer,TFIDF Vetorizer,WordnetLemmatizer. It is implemented usi…

This is a SMS Spam Detection Project with Streamlit

In this repo i have created a SMS Spam Prediction project in machine learning using NLP.

Identifying and distinguishing spam SMS and Email using the multinomial Naïve Bayes model.

Android Client for SMS Spam Detection using ML

Train different machine learning algorithm to detect sms spam

Sms spam classifier using machine learning

One of the primary methods for spam mail detection is email filtering. It involves categorize incoming emails into spam and non-spam. Machine learning algorithms can be trained to filter out spam mails based on their content and metadata.

In this project we are using LSTM to classify texts as spam or ham.

Getting Intuition behind the implementation of Naive Bayes Classifier with SMS spam collection data.

Simple example for Kaggles SMS Spam Collection Dataset with a simple LSTM.

Welcome to the "SMS Spam Detector" project! This machine learning model identifies whether a given SMS is spam or not, providing a valuable tool for spam detection and filtering.

An end-2-end project

using naive-bayes classifier

Detect Email/SMS Spam with Machine Learning!

High-performance SMS spam detection using a scalable Naive Bayes algorithm and Hadoop's MapReduce framework to tackle large-scale spam filtering effectively.

A simple mobile app which syncs all your inbox sms and predicts whether it is "Ham" or "Spam".

A Natural Language Processing with SMS Data to predict whether the SMS is Spam/Ham with various ML Algorithms like multinomialNB & GaussianNB to compare accuracy and using various data cleaning and processing techniques like PorterStemmer,CountVectorizer. It is implemented using LSTM and Word Embeddings to gain accuracy of 97.70% .

SMS and Email Spam Classifier end-to-end project, deployed on Streamlit

This Project Predicts whether the Email/SMS is spam or ham by using the extensive knowledge of NLP and various ML Algorithms. Deployed on Streamlit & Herokuapp