Application of Machine Learning Techniques for Text Classification and Topic Modelling on CrisisLexT26 dataset.

This simple project detects spam content using NLP. It is further powered by MLOps consisting of Docker and Github CI/CD.

Fake news detection

Built using Python, Streamlit, and NLTK, the Hate Speech Detection App employs a Decision Tree Classifier for identifying hate speech in text. It features real-time speech input, NLP preprocessing, and a user-friendly Streamlit interface, offering both visual and text-to-speech result presentation.

An Email classifier using CountVectorizer and Naive Bayes strategy. PyQt5 is used for GUI

A majority of customers rely on the review of the product on the websites which helps in forming an opinion about the product. Thus, positive or negative reviews have direct influence on the product and this makes online reviews an integral part of the business. This, unfortunately also gives strong incentives for opinion spamming and thus detec…

This repo contains code on study of a covid long-hauler group

Spam detection model using naive bayes algorithm

Content based movie recommendation API using Scikit Learn and Flask

Machine Learning course of Piero Savastano 4: CountVectorizer, BernoulliNB, accuracy_score, pandas