I am a bookworm and this is how I learned ML.

I am a bookworm and this is how I learned ML.

This page will have everything you need to learn AI

So, lets start with the basics. AI is simple all you need to do is go though a few courses. Here are my favourites.

• Machine Learning and Data Science Bootcamp with Jose Portilla [Udemy Course].

What will you learn from this course and how should you navigate it ?

1. Course will teach all basics of Numpy, Pandas and Data Visualization Techniques.
2. Go through the course thoroughly and try to understand every word of the code.
3. Work on Projects given in the Course for every ML Model.

After this you will be done with your basics you will have an idea of what ML is but might have some problem in making your own projects. And how to fix this problem you ask? Its simple one more course (ps its one of my favourites 🫣🤫)

• Machine Learning Specialisation By Andrew Ng

Gwaadd I love this man

And now after that you have become a intermediate like me yay!!!! :) hehe. Now you will have the knowledge to create your own AIs and have alot of fun hehe. To mentain your knowledge you can do the following:

1. Refer to Youtube and Documentations for Algorithms of ML Models.
2. Try to understand the algorithms behind each and every ML model.
3. Work on Data Sets from Kaggle 7–8 data sets for every model.

(optional)

This part is for if you wanna become a absolute chad 💪

• Learn the mathematics of every ML model, and how exactly it’s working. [Mutliple Youtube Resources]
• Start reading books on ML, Master Machine Learning Algorithm by Jason Brownlee.
• Machine Learning Course by Andrew Ng (End-to-End Knowledge in ML)
• Work on large and amazing datasets, which will grind your brain.