TFIDF being the most basic and simple topic in NLP, there's alot that can be done using TFIDF only! So, in this repo, I'll be adding the blog, TFIDF basics, wonders done using tfidf etc.

Intents-Based Chatbot with Streamlit

Phony News Classifier is a repository which contains analysis of a natural language processing application i.e fake news classifier with the help of various text preprocessing strategies like bag of words,tfidf vectorizer,lemmatization,Stemming with Naive bayes and other deep learning RNN (LSTM) and maintaining the detailed accuracy below

This webapp helps to find the inaccurate information around the world through news

Application of VMD in NLP via TF-IDF for better semantic relationships.

Posts/Feeds recommendation engine based on content based and collaborative filtering methods

Hire the Perfect candidate. HackerEarth Competitions solution.

The aim - is to develop a model that will give accurate predictions for the customer's test sample, but the training sample for is not given. It should be collected by parsing

Steam recommendation system

Program that can take in large amounts of .csv files in the same directory and trains a deep learning neural network model based on the best/worst students evaluated by the user. Second program then utilizes the model from the first program to produce a projected report for each individual student inputted.

In this project we are comparing two approaches for movie recommendation for a new user or existing user based on their age, gender, occupation.

This project is a Python-based data science end-to-end chatbot designed to autonomously handle conversations without the need for human intervention. Leveraging advanced natural language processing (NLP) techniques and machine learning algorithms, the chatbot is capable of understanding user queries, providing relevant responses.

A machine learning model for detecting fake news

An innovative system for filtering and categorizing movie reviews

Amazon reviews Sentiment Analysis

A Lite Implementation of sklearn TfidfVectorizer

Movie Recommendation System based on machine learning concepts

Use Key NLP techniques to classify news articles into categories: Bag_of_Words (tf-Idf), word embeddings and BERT language model