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followers: 58.0 following: 567.0 repos: 427.0 gists: 10.0

Name: Mrunal Waykos

Type: User

Company: Freelancer

Bio: I remember I was here not because the way in front of me, but the way behind me. There is no such thing as - I can't, as long as I want to.

Location: Pune, India

Blog: https://mrunaljain1102.wixsite.com/my-site

Hi there! 🙋 My Name is Mrunal Waykos

Hello

Welcome to Mrunal's Profile!

# 👋 Hey there! I'm mun!

I'm Mrunal, an undergraduate student in Electronics Engineering at Sinhgad Institute of Technology 🎓.

🔭 I’m currently working on a VS Code Course!
🌱 I’m currently learning everything 🤣.
👯 I’m looking to collaborate with other content creators.
🥅 I can code with Angular.
⚡ 2020 - I will upload my projects on GitHub and share them with everyone.
After Enginnering i See World of Developers than realise i am just a bug in a vast see of Developers my reaction like

Mrunal Waykos By Day, Batman By Night

Connect with me:

My CP Handles:

My Certifications:

Skills and Technologies 🛠️

Mrunal Waykos's Projects

.github

Default Community Health/Policy Files for the Microsoft organization on GitHub

100-important-website

100 Important Website list you must know

100-java-programs-

100 Java Programs u must learn to writenand code

Its a 100 days of data science code challenge going on with the medium levels topic to the harder levels, showcasing my consistency and one own commitment and dedication to move further in th world of Data Science.

123456

24pullrequests

:christmas_tree: Giving back to open source for the holidays

42_ebook

The number 42 in ebook form

500-ai-machine-learning-deep-learning-computer-vision-nlp-projects-with-code

500 AI Machine learning Deep learning Computer vision NLP Projects with code

abxhr

agent

TBD

alannnc.github.io

algorithmic-trading-python

The repository for freeCodeCamp's YouTube course, Algorithmic Trading in Python

aliucord

Discord Android app mod inspired by desktop Discord client mods.

amazing-feature-engineering

Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as applied machine learning itself.