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Agrim Nautiyal's Projects

cc-data-monsters icon cc-data-monsters

this repository is for codechef-vit people learning data science to submit their projects

code-a-thon-17 icon code-a-thon-17

This is a set of solutions for the code-a-thon-2017 conducted by the ISTE chapter of Vellore Institute of Technology. The combination of these solutions have been instrumental in me resulting in an overall rank of 35 after 2 rounds of eliminations( rank 16 in the first two rounds) and finally being in the top 35 list of honours of the competition of 27 hours.

django_to_do icon django_to_do

A simple To-Do-List App using a Django Backend and HTML, CSS, JS, Django-Templating-Language frontend (Server-Side)

freecodecamp icon freecodecamp

Solutions for freecodecamp.org for beginners who are stuck on challenges

ml-competitions icon ml-competitions

This repo contains my approach for Machine Learning competitions hosted on various platforms

mnist-web-app icon mnist-web-app

A simple implementation of a convolutional neural network in the use of recognising handwritten digits - usage can be easily expanded but not limited to complete sentences and other characters.

movie_rating_app icon movie_rating_app

This flask based website inputs a user's movie review and predicts a rating from 1-10 based on the same. Users can signup and login and explore a portal with options to view/delete their usage history. An admin portal is set up too to detect profanity and review user account and activity info.

nail-hacktoberfest icon nail-hacktoberfest

:rocket: A place where you can easily start your 'open source' journey and well, nail hacktoberfest!

node-crud-api icon node-crud-api

Repo for practising crud and other important api operations with node

predictive-customer-analysis icon predictive-customer-analysis

This project is based on looking at several aspects of predictive customer analysis and operations. Datasets from the LinkedIn Predictive Customer Analysis course are used and manipulated on.

problem-solving icon problem-solving

This repository is dedicated to publish solutions of famous and standard problems for technical interviews of all major data structures and algorithms

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