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My ML Journey

Shree Ganeshai Namah

Shlokas


At First i started with Krish Niaks ML crash course,
But is was bit High Level So, Dropped it, as it was a bit advance 😅😅

Then in sem 4 i started with ML maths with JOSH STARMER, it was good.
He wonderfully taught maths required to understand ML algorithms.

So what i did was:

  • Learned the Maths for a particular Algo
  • Then i implement that algorithm in python, some with sklearn and some with from scratch implementation

My Learning Partners:
  • Bard
  • ChatGpt
  • ChatPDF
  • Daniel Bourke's Github
  • DataCamp😍: An amazing platform, it's super amazing, unlike Udemy with video lectures you get handson exercise during the course, Guided and Unguided Project. But it is paid 😑... Wait We can get it's Free 3 months Premium Access using Github student's developer pack

Link to Playlist Maths for ML

After finishing this algorithms, i started with Deep learning,
but before starting with what it actually is i just looked for an overview at 3Blue 1 Brown Youtube Channel.
it was good, like it make you visualize what this thing is all about.

Made With ML: Learn About ML and related things, it provide you with resources


Some Useful Resource Link That i Found

Neural Network Resource Github

NLP Papers

Andrew NG

Andrew NG Standford

IIT ML

NN Notes

Code Samples for DL and Neural Nets

Code Basics Datascience course

5 min Engineering ML course

Andrew NG's Course

3Blue 1Brown (Maths & Neural Nets)

MNIST DB for Handwritten Digits (useful for Neural Nets)

Test Your Skills

Python Cheat Sheets

ML Book


After Completion Of ML algorithms

Link to it 3 Blue 1 Brown

NLP Code Basics

Speech and NLP Book

NLP Krish Naik

100 days of ML

100 days of DL

CampusX NLP

Legend of NN Andrej Karpathy

Karpathy Blogs

Krish Naik DL playlist

Krish Naik DL Crash Course

Code Basics DL with tensor flow keras and python

NLPcs124

How to keep up with AI/ML as beginner

3 DL Projects

Develop and Deploy Model



Got a End-To-End ML Pipeline Deployment Task

Link to what i was reading and watching for it: