Here& #39;s what your first 30 days of Machine Learning should look like.

(I wish I had this before)
https://abs.twimg.com/emoji/v2/... draggable="false" alt="🧵" title="Thread" aria-label="Emoji: Thread">https://abs.twimg.com/emoji/v2/... draggable="false" alt="👇" title="Rückhand Zeigefinger nach unten" aria-label="Emoji: Rückhand Zeigefinger nach unten">
What you are going to look at now is a curriculum I wish I had followed.

It took me 2 years to get into machine learning because I was never consistent, however you don& #39;t have to make the same mistake.

You& #39;ll learn a lot in a very short amount of time through this thread.
Before we begin with the curriculum, make sure you throw these myths out of your mind.

> Machine learning does not require creativity

> Machine learning is difficult

> You need to know a lot of math to get into machine learning

> You need an expensive PC for machine learning
Also keep these points in mind.

> Machine learning is a vast field, the point of this thread is to help you get started, you& #39;ll have to keep that momentum going on afterwards too!

> Consistency is everything, it will decide if you use this curriculum well or not!
> Just because we will not being using any math during this time doesn& #39;t mean its not important, it is VERY important but it can come much later on in our journey.

> All courses and other material in this thread are 100% free.
With all that cleared, let& #39;s take a look at the curriculum you& #39;ll be following for the next one month.

Our goal will be to have a solid understanding of neural nets work without the complex math and we& #39;ll also learn how write quite a bit of code in this process.
We will also try to complete a simple kaggle challenge if possible.

You can read more about Kaggle here:https://abs.twimg.com/emoji/v2/... draggable="false" alt="👇" title="Rückhand Zeigefinger nach unten" aria-label="Emoji: Rückhand Zeigefinger nach unten"> https://twitter.com/PrasoonPratham/status/1325124948025724928">https://twitter.com/PrasoonPr...
Step 1

Your first 10 days will be spent learning Python from this tutorial

https://abs.twimg.com/emoji/v2/... draggable="false" alt="👉" title="Rückhand Zeigefinger nach rechts" aria-label="Emoji: Rückhand Zeigefinger nach rechts">www.​youtube.​com/watch?v=rfscVS0vtbw

Believe me, this is enough to get started with Machine learning, you can learn more complex python concepts when you need them.
30-45 minutes a day and you& #39;ll finish this course in about a week and a half or so, take longer if you need to, everyone has a different learning rate.
Here& #39;s a pro tip, incase the setup for python is too hard, you can use repl.​it, an online editor where you can write Python code without any setup. make sure you are using Python3 (3.7/3.8 is recommended) and not Python 2.
Step 2

We& #39;ll now dive in into how neural networks work!

This series by 3blue1brown has a simple, intuitive and a visual approach to how neural networks works without ANY complex math at all

https://abs.twimg.com/emoji/v2/... draggable="false" alt="👉" title="Rückhand Zeigefinger nach rechts" aria-label="Emoji: Rückhand Zeigefinger nach rechts">www.​youtube.​com/watch?v=aircAruvnKk&list=PLZHQObOWTQDNU6R1_67000Dx_ZCJB-3pi
It won& #39;t take you longer than 3-4 days to complete this series.

I must also emphasise that along this journey you& #39;ll have to enjoy everything otherwise you will not be able to learn things as quickly as you could.
Step 3 : We& #39;re now about 17 days into our machine learning journey, here& #39;s the course you have to take next.

https://abs.twimg.com/emoji/v2/... draggable="false" alt="👇" title="Rückhand Zeigefinger nach unten" aria-label="Emoji: Rückhand Zeigefinger nach unten">
Machine learning foundations by google developers, I can& #39;t recommend this course enough, it helped get started with machine learning in a way no other course could.

https://abs.twimg.com/emoji/v2/... draggable="false" alt="👉" title="Rückhand Zeigefinger nach rechts" aria-label="Emoji: Rückhand Zeigefinger nach rechts">www.​youtube.​com/watch?v=_Z9TRANg4c0&list=PLOU2XLYxmsII9mzQ-Xxug4l2o04JBrkLV
These set of 12 videos in 12 days will take your machine learning skills from zero to 1, it really is a great course to take.

Did I mention you& #39;ll also learn how to use Google Colab and Jupyter notebooks in these courseshttps://abs.twimg.com/emoji/v2/... draggable="false" alt="😉" title="Zwinkerndes Gesicht" aria-label="Emoji: Zwinkerndes Gesicht">
We have one day remaining!

Our goal today is try and complete a practical project on kaggle, here& #39;s the competition you want to compete in as a beginner : Digit Recognizer challenge.
You& #39;ve already trained a MNIST classifier in the google developers course, you& #39;ll have to apply that in the practical world using this challenge.

https://abs.twimg.com/emoji/v2/... draggable="false" alt="👉" title="Rückhand Zeigefinger nach rechts" aria-label="Emoji: Rückhand Zeigefinger nach rechts"> www.​kaggle.​com/c/digit-recognizer
Tip : Take help from submissions from other people incase you are stuck. Also do not forget to google things when needed!
Our one month of machine learning has ended and we& #39;ve learnt quite a bit and that is awesome!

I wish you all the best in all your future endeavours. https://abs.twimg.com/emoji/v2/... draggable="false" alt="🔥" title="Feuer" aria-label="Emoji: Feuer">
You can follow @PrasoonPratham.
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