Muppala Sunny Chowdhary's Projects
here I'm attaching the solutions of the 30 day coding challenge of hackerrank
Developer Cheatsheets
fun with colorgaame
Customer churn prediction
Twitter Parsing I've recently discovered the Chris Albon Machine Learning flash cards and I want to download those flash cards but the official Twitter API has a limit rate of 2 weeks old tweets so I had to find a way to bypass this limitation : use Selenium and PhantomJS. Purpose of this project : Check every 2 hours, if he posted new flash cards. In this case, download them and send me a summary email. Face Recognition Modern face recognition with deep learning and HOG algorithm. Using dlib C++ library, I have a quick face recognition tool using few pictures (20 per person). Playing with Soccer data As a soccer fan and a data passionate, I wanted to play and analyze with soccer data. I don't know currently what's the aim of this project but I will parse data from diverse websites, for differents teams and differents players. NYC Taxi Trips Kaggle playground to predict the total ride duration of taxi trips in New York City. Kaggle Understanding the Amazon from Space Use satellite data to track the human footprint in the Amazon rainforest. Deep Learning model (using Keras) to label satellite images. Predicting IMDB movie rating Project inspired by Chuan Sun work How can we tell the greatness of a movie ? Scrapping and Machine Learning
PRR, RR, IC, EBGM (MGPS) and more (including data prep)
Join the GitHub Graduation Yearbook and "walk the stage" on June 11.
A machine learning based website that recommends the best crop to grow, fertilizers to use, and the diseases caught by your crops.
The dataset was cleaned and queried using MySQL inside Jupyter Notebook and visualizes using PowerBI
A simple data analysis performed on bike sharing dataset
The "Property Price Predictor" project aimed to revolutionize Zillow's Home Value Estimates by developing a sophisticated machine learning model capable of predicting log errors and implementing a robust three-way decision framework.
Contains Helper code in python
An elegant and simplistic Simple Interest Calculator Application developed in Flutter using Dart Programming Language.
This project leverages Soft Actor-Critic (SAC) in Lux AI Challenge Season 2, a turn-based strategy game.SAC, a state-of-the-art deep reinforcement learning algorithm, optimizes resource collection and lichen growth in a dynamic environment.