If you are a developer then these GitHub repositories or websites will boost your knowledge to the next level

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10 HTML and CSS tips that you need to know😉

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1️⃣ Customize the text selection

- The ::selection pseudo-element matches the portion of an element that is selected by a user.

2️⃣ Range Input

- You can change the styling of input type="range"

3️⃣ Custom Scrollbar

- Customize the scrollbar of your website in few minutes

4️⃣ Scrollable element

- If you have some fixed size element then use overflow: auto. It will convert your element into scrollable element

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.

𝐆𝐢𝐭𝐇𝐮𝐛 serves more than 73,000,000 developers.

These repositories are so priceless 🤯 , better than some courses out there ✨

Here are 10 repositories that you don't wanna miss.

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🞖 Clean code JavaScript 🞖

This repository takes the concepts of clean code by Mr. Robert C. Martin and adapts them for JavaScript so you can use them in future

🞖 Free-for. dev 🞖

This repository consists of a list of software(Saas, Paas, Iaas, etc.) and other offerings that have free tiers for

🞖 Tech Interview Handbook. 🞖

This repository can be used by anybody who wants to land a job at a tech company but is new to technical

🞖 JavaScript-Algorithms 🞖

This repository contains JavaScript-based examples of many popular algorithms and data

Are you a web developer?

Here are few Productive Tools that will save you 10+ hours per week

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1. Metatags

This tool can help you to test and view your website's preview when viewed on Google, Facebook, or

2. ExtractCSS

This tool can help you to extract element Id, class, and inline styles from HTML documents and output them as CSS

3. WhatRuns

This tool can help you to peek at other site's themes, plugins, and server info used. WhatRuns can be installed on @firefox and

4. Unminify

Free tool to unminify javascript, CSS, HTML, XML, and JSON code making it readable and

I remember how hard it was to find resources for machine learning a couple of years ago.

Now we have so many of them, its impossible for you to not find what you're looking for.

Here are some of them 🧵

1️⃣ Kaggle

My go to place for finding datasets and code snippets, also a great place for discussions.

2️⃣ Papers with code

A collection of the latest and greatest research papers and the best part, a github repository with the code is included!

3️⃣ Kdnuggets

Guides, tutorials and articles on everything AI, Analytics, Big Data, Data Mining, Data Science, and Machine Learning.

4️⃣ Towards Data Science

A blog about data science with accessible and well written articles.