Practice and improve your HTML, CSS and JavaScript skills by building these 50 projects.

A thread 🧵

Web development resources for free

Mega Thread 🧵 👇🏻

1️⃣ Online learning platforms 📘

- Udemy
- FreeCodeCamp
- Treehouse
- Frontend masters
- Coursera
- Traversy media
- SoloLearn
- Codecademy
- Udacity
- Alison
- Code college
- LinkedIn Learning
- Skillshare
- EdX

2️⃣ Editors and share code snippets ✍🏻

- PlayCode
- JSFiddle
- CodePen
- StackBlitz
- JSBin
- Codesandbox
- Codeinterview .io
- godbolt .org
- wandbox .org
- carbon .now.sh
- pastebin .com
- ideone .com
- ide .judge0.com

3️⃣ Documentations and notes 📄

- w3 schools
- mdn
- Devdocs
- geeksforgeeks
- tutorialspoint
- javapoint

4️⃣ Competitive programming 👩‍💻

- CodeChef
- HackerEarth
- HackerRank
- AlgoExpert
- LeetCode
- TopCoder
- Codewars
- Codeforces
- Coderbyte
- Exercism

You are looking to get into Machine Learning? You most certainly can
Because I believe that if an above-average student like me was able to do it, you all certainly can as well

Here's how I went from knowing nothing about programming to someone working in Data Science👇

The path that I took wasn't the most optimal way to get a good grip on Machine Learning because...

when I started out, I knew nobody that worked or had knowledge of Data Science which made me try all sorts of different things that were not actually necessary.

I studied C programming as my first language during my freshman year in college. And before the start of my second year, I started learning python just because I knew C is not the way to go.
I learned it out of curiosity and I had no idea about Machine Learning at this point.

I did not learn python by courses but by books. I'll link all the resources at the end.
The approach I took was just to make the same kind of programs I made in C but just replacing the syntax with that of python and practised those.
Already knowing a language made it easier.

For Machine Learning, the first thing that I did was to join Andrew NG's course which really hit it off for me
I didn't have to have any idea about Machine Learning for the course. I completed that in almost a month and it gave me a good intuition of things and the flow of ML.

I discovered a fantastic GitHub repository called: Projects

This repository contains about 125 project ideas from beginner to intermediate level that anyone can solve in any programming language.

Link - https://t.co/Arl5fl1lQI