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Hi šŸ‘‹, I'm Yash Vats

A passionate Competitive Programmer and Full Stack Web Developer from India

  • šŸ”­ Iā€™m currently working on Selenium Webdriver

  • šŸŒ± Iā€™m currently learning React and MongoDB

  • šŸ‘Æ Iā€™m passionate about Data Structures and Algorithms

  • šŸ‘Øā€šŸ’» All of my projects are available at https://github.com/de-coding-life

  • šŸ’¬ Ask me about Competitive Programming

  • šŸ“« How to reach me [email protected]

Connect with me:

yash-vats de_coding_life de_coding_life de_coding_life

Languages and Tools:

bootstrap c cplusplus css3 express firebase git html5 java javascript mongodb mysql nodejs opencv pandas postman python react scikit_learn seaborn selenium sqlite

de-coding-life

de-coding-life's Projects

awesome-cpp icon awesome-cpp

A curated list of awesome C++ (or C) frameworks, libraries, resources, and shiny things. Inspired by awesome-... stuff.

competitive-programming-algorithms icon competitive-programming-algorithms

The purpose of this repository is to get all the Algorithms required for Competitive Programming at one place. This will be very helpful. Also one can contribute to this repository and learn something from this.

cp-helper icon cp-helper

The AIM of this project is to help competitive programmers in solving calculation-intensive tasks during contests. I brushed up my concepts of HTML, CSS, & Javascript through this project,the website is completely based on DOM Manipulation. This CP Helper is an invaluable tool for those working on coding challenges and competitions.

credit_card_fraud_detection icon credit_card_fraud_detection

Performed analysis on an imbalanced PCA dataset, utilizing K-Nearest Neighbors (KNN), Random Forest, and Logistic Regression algorithms to classify transactions as legitimate or fraudulent. Achieved remarkable results by employing Random Forest, attaining an accuracy of 93.9% and an impressive F1 Score of 93.4%.

tradata icon tradata

This project automates the collection of daily stock market data, including option chain, index prices, and FII DII data from multiple stock market websites thereby efficiently presenting it to the user in a clear and summarized format

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