Resume

News_Category_Classifier is a web application that uses machine learning techniques to classify news articles into different categories. It utilizes a trained model to predict the category of a given news article.The link for this project is here .

This project is a binary classification model that predicts whether a patient is likely to have kidneystones or not. It uses various numerical features such as age, medical history, and other factors tomake this prediction. The link for this project file is here. 

This project is a binary classification model that analyzes the customer behaviour of an e-commerce company by predicting whether a user has made a purchase or not, using the session data of its users for a year. The link for this project file is here.

This is a Streamlit app called "MovieMaven" that allows users to search for a movie by its title and displays various details about the movie, such as its rating, genres, plot, directors, cast, writers, production companies, box office gross, budget, and recommendations. The link for this app to host use is here

In this Project, I Collected raw and real-time data from the nearby local shop, then using course knowledge preprocessed and cleaned the data to analyze using Google Sheets, then made a presentation (using slides )which would indicate the shop's growth, and future possibilities, improvement factors & suggestions etc. Project Google Drive Link is here.

This is a Python implementation of the classic game of rock-paper-scissors. The game can be played between a user and a computer. The user can choose rock, paper, or scissors, and the computer will randomly select one of these options. The game's rules determine the winner of each round: rock beats scissors, scissors beat paper, and paper beats rock. The game ends after 7 rounds, and the player with the most points at the end of the game is declared the winner. The link for this app file is here.