A movie recommender that recommends movies using the K Nearest Neighbours algorithm from a list of ~5000 movies

Simple dashboard with Covid19 data available for India built using Flask

Simple python implementations for mathematical plots

Exploratory data analysis done on datasets in Python and R

I like to keep learning new things. Here are my notes on Python, from the most basic to the more complicated ones. Always a work in progress.

Repo to contain code with working on data and plotting with R

Data Analysis on Football matches in the EPL from 2011 to 2019 on Shots and Goals scored using R

Games built using Javascript

Basic Tic-Tac-Toe game built in C while learning the language

Mini Data Science project on nCOVID-19 infections data

Code related to Neural networks and Deep Learning

This is a simple text editor for markdown files built using python and tkinter for adding more notes to https://github.com/ppai22/my-notes

K-Means clustering of given data set using Python without using frameworks

This project calculates the contribution of each character to the Marvel Cinematic Universe in terms of how much time they spend on screen. The TF-IDF ranking algorithm is used here for the purpose.

A mini-project in NLP to perform sentiment analysis on subtitles of movies using TextBlob. (Work under progress)

Ball-by-ball data set generated out of the commentary data scraped for every match of the ICC Cricket World Cup 2019 from the ICC website

Mini-project that runs a Python script to generate a list of major colours in the input image file. Uses Open-CV and the concept of K-Means clustering.

Attempt at developing a movie recommender using the MovieLens dataset