How to learn Machine Learning?
Learn Machine Learning Fundamentals [reducible/ irreducible errors, Bias/Variance, Underfitting/overfitting, supervised/unsupervised learning, parametric/non-parametric algorithms, hypothesis (it’s not the same as a hypothesis in statistics), cost function, optimization, resampling, bootstrapping, model evaluations, parameter tuning, model diagnostic/assumptions checking, etc. particularly in the context of one algorithm. And linear regression is always the best algorithm to start learning ML
For point 1, you need a little understanding of stats (maybe little math somewhere). If you find it difficult to master 1, try to brush up on stats topics and go back to point 1
1 & 2 will prepare a strong foundation for ML learning.
Now you need a tool to implement the ML model. Choose Python (as on date more popular for ML/DS) or R (as on date more popular for statistical analysis & research). I would suggest starting with Python. (Nisha Arora's answer to What qualifications are required to learn Python?). Get yourself comfortable with the tool and start applying your learning to some data (there are many publicly available data sets)
Now, learn more about ML algorithms. I would say theory first and then Python/R implementation
Once you feel you’re comfortable with some of the basic algorithms, look at other IMPORTANT aspects of applying ML. You need to learn data exploration, data cleaning, data preparation, data visualization, etc. If you’re new to this, give yourself time to learn and master these in at least one of the tools Python/R
If you’re a non-programmer, try to improve your code by learning coding best practices, some OOPs concepts. Learn version control, collaboration, managing projects, modules, etc.
If you're interested to master Python Pandas, my course can help you: https://www.udemy.com/course/python-pandas-for-business-analytics-data-science/?referralCode=B36C850D2A8FE692BA2C
More videos to help you get started with Python 🤑 : https://www.youtube.com/playlist?list=PLfZXabiF_17pZdPV6h9KOdcIGI3OrY9KS
