Experience the fusion of OpenAI's GPT services and TMDB's extensive movie database in our React application. With features like Redux store, React Router DOM, and Tailwind CSS, enjoy seamless brows…

MLOps Resume

This study assesses the impact of sentiment analysis on predicting customer churn in e-commerce, comparing models with and without customer feedback to identify the most accurate predictive approach.

Netflix Tableau Visualization.

Full Stack Web Development repository ! This repository is dedicated to providing comprehensive resources and examples covering the MERN (MongoDB, Express.js, React.js, Node.js) stack, along with f…

Welcome to TubeFlix, a top-tier video streaming platform built with React, Tailwind CSS, and YouTube's API, featuring advanced video browsing, dynamic search, complete playback controls, and intell…

Hierarchical Clustering Algorithm on Wine Clustering data with dendograms visualization.

Exploratory Data Analysis of Haberman Dataset

This project implements a personalized apparel recommendation engine using content-based search with the Amazon API, NLTK, and Keras libraries.

A Comparative Machine Learning Case Study: Movie Recommendation System Using Collaborative Filtering and Content-Based Filtering

A React.JS Application with live API data from SWIGGY.

K-Means Clustering Algorithm

TV Shows recommendation system using cosine-similarity in ML with the help of TMDB dataset 🍿🎬.

Keywords Prediction Model Built the Model By: Data Cleaning Removing Stopwords Constructing Word2vec Advancing to TF-IDF Weighted Word2vec.

A Personal Website comprised of HTML & CSS.

DrumKit using Javascript, HTML5, CSS and JavaScript