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πŸ‘‹ Hi, I’m @YashTariyal

πŸ”­ I’m currently working on Cloud.

🌱 I’m currently learning Machine Learning.

πŸ‘― I’m looking to collaborate on Open source community.

🀝 I’m looking for help on Web Development.

⚑ Fun fact I am A Good Learner and I love to do Programming.

πŸ› οΈ My Favorite Tools

c cplusplus git java javascript linux mysql nodejs oracle php python react xd

πŸ‘¨β€πŸ’» Programming Languages

C C++ CSS HTML Java JavaScript NodeJS PHP Python SQL

πŸ‘¨β€πŸ’» Programming Profiles

Yash Tariyal Codeforces Stats Yash Tariyal Leetcode Stats

🧰 Frameworks and Libraries

Arduino Keras NumPy Pandas React TensorFlow Wordpress

πŸ—„οΈ Databases and Cloud Hosting

GitHub Pages Heroku MongoDB MySQL Firebase

πŸ’» Software and Tools

Adobe Android Studio Atom Chrome Colab Brave Codepen Dark Reader Git Google Sheets Jupyter Postman Stack Overflow Sublime Text Visual Studio Code

πŸ“«Connect with me:

@yashtariyal's Holopin board

πŸ”₯ Streak Stats

Yash's streak

If you can dream it, you can do itπŸ”₯

## πŸ“ˆ GitHub Statistics

Yash's github activity graph

πŸ“ˆ Graph

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πŸ”₯ Trophies

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πŸ‘€ Profile views

Visitor Count

πŸ‘€ Code Time

Code Time

πŸ‘€ Lines of Code

Lines of code

Yash Tariyal's Projects

60-seconds-of-cpp icon 60-seconds-of-cpp

60 seconds of C++ code | Contribute on this repository with valid pull request to Hacktoberfest 2022 and earn amazing swags!

allinhacktoberfest icon allinhacktoberfest

AllInHacktoberfest Was Created in 2022 and Now going on It has several catagories Which Include Linux/Cybersecurity/webDev/Game Development

clickbait-detection icon clickbait-detection

Detects clickbait using two-phase CNN-LSTM Bi-term model. At first phase, hybrid CNN-LSTM model is used to accurately detect the fed short text as clickbait or not. At second phase, Biterm model is combined with the clickbait headline retrieved from the previous phase to classigy the type of clickbait (reasoning, number, reaction, revealing, shocki

clickbait_detector icon clickbait_detector

Through NLP and text classification, this project aims to use ML to classify a headline as clickbait or non-clickbait and provide evidence in the possibility to deploy on a larger scale.

code-library icon code-library

Raise Genuine PRs, Your PRs will be accepted, Don't forget to spread love and if you like give us a ⭐️you aren't allowed to Update README.md

codingpractice-hacktoberfest23 icon codingpractice-hacktoberfest23

Repository totally dedicated to Hacktober Fest 2023, feel free to use it. Topics hacktoberfest hacktoberfest-accepted hacktoberfest2023

diabetes-prediction-using-machine-learning icon diabetes-prediction-using-machine-learning

This is a Diabetes Prediction Machine Learning Model build using Random Forest Classifier Supervised Learning Model. The dataset it uses is provided by National Institute of Diabetes and Digestive and Kidney Diseases and is available on Kaggle.

dsa_hacktoberfest2023 icon dsa_hacktoberfest2023

This Repo will Accept all the quality Hacktoberfest 2023 Contribution βš‘οΈβœ…πŸŽ‰

faang icon faang

Competitive programming questions.

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