Catching up with Machine Learning for Experienced Folks

You have a lot of tutorials on the web. You can leverage anything that works for you,
The sequence I recommend is

• Stats and Maths for Data Science (Stanford / Other Youtube classes)
• Applications in Each Domain (Find applicable use cases for your domain)
• Python (Youtube / Python Programming sites) – Data loading, analysis, join, filter etc…
• ML Models (Linear, Logistics, Decision Trees, Random Forests) - Code up in python with datasets
• Classification vs Regression - Code up in Python
• Experiment Labelling, handling categorical data etc…
• Take up one udemy course after all above list is done (December some offers may be there) 20$ courses…

The term Data Science claims to represent multiple collaborative disciplines, which have the sole purpose of extracting meanings from data regardless of their structured/informal nature. #Infographic by @LindaGrass0 @antgrasso #DataScience #Math #Data #AI #BigData pic.twitter.com/v3VRfJPcu6

— Antonio Grasso (@antgrasso) May 28, 2020

Keep Coding!!!