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Abhipsa Jena's Projects

algo_ds_notes icon algo_ds_notes

It is a repository that is a collection of algorithms and data structures with implementation in various languages.

competitive-coding icon competitive-coding

I'll post the solutions to some coding questions on various platforms like leetcode, HackerRank, GeekforGeeks etc.

data_structures_for_hacktoberfest icon data_structures_for_hacktoberfest

A repository to get started with open source and contribute in Hacktoberfest . You can add any data structures and algorithms code in the language of your choice.

dsa icon dsa

A repository by Codechef@MUST for data structures and algorithms

fantasy-cricket-game icon fantasy-cricket-game

A computer game created using python, capable of making virtual cricket teams and calculating scores based on real life performances of players. Software used for GUI and Database are QT Designer and SQLite Studio respectively.

hacktoberfest icon hacktoberfest

:octocat: Simply add your details and Get a chance to earn a free tshirt! ✅

hacktoberfest-2020 icon hacktoberfest-2020

:octocat: Welcome to Open-source! Simply add your details to contributors | Repo for Hacktoberfest 2020 ✅

market_basket_analysis icon market_basket_analysis

To find the association rules between the items using the Apriori Algorithm. Or in other words, you have to find out those items/itemset that customers bought together which helps the owner for store layout/marketing. And then show the relative Sales of the data in Tableau Dashboard

rtu-digitallibrary icon rtu-digitallibrary

This is an opensource repository by Rajasthan Technical University for all engineering students and the folders contain codes written in different programming languages. You can even add a folder of say, Javascript or Php, if your language isn't listed. Happy coding everyone.

sentiment-analysis-of-hindi-reviews icon sentiment-analysis-of-hindi-reviews

A group project under ACM IGDTUW aiming to analyse Hindi reviews of movies, translating them to English and then classifying them into negative and positive reviews using various Machine learning algorithms to determine how good the movies are.

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