What to do before jumping on machine learning??


First, get your concepts cleared in python

Second, working on python modules

Third, learn data science and data analytics

Fourth, learn data visualization

Fifth, learn ARTIFICIAL INTELLIGENCE

Then jump on machine learning

Guys we will learn machine learning in this group step by step
So i am assuming you all have completed python properly

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Data Visualization with Python | Free Courses in Data Science, AI, Cloud Computing, Containers, Kubernetes, Blockchain and more.
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After completing data analytics

And in the end you will get a certificate for free..

Enjoy

Learn basic python , working with data , pandas, and numpy

For those who have no idea about pandas and numpy

Must watch to understand what machine is

🤓 ML Cheatsheets!

Supervised Learning: https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/en/cheatsheet-supervised-learning.pdf

Unsupervised Learning: https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/en/cheatsheet-unsupervised-learning.pdf

Deep Learning: https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/en/cheatsheet-deep-learning.pdf

ML Tips/Tricks: https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/en/cheatsheet-machine-learning-tips-and-tricks.pdf

Stats/Prob: https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/en/refresher-probabilities-statistics.pdf

Linear Algebra: https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/en/refresher-algebra-calculus.pdf