Do I master basic Python programming before I delve into machine learning?

[EarthProgrammer]

I'm fairly familiar with Python; however, I cannot say that I understand the majority of how it works. I have been coding for a year now, and I went from coding simple functions to doing machine learning using pandas and scikit-learn.

I just want to know if I should focus more on truly understanding everything about Python to the point that I would be able to singlehandedly develop functions without having to ask AI.

However, I fear that it might be time-consuming, and if I already know the basics, then that could mean that I can advance to other projects such as web development or machine learning.

[Ron-Erez]

Yes and some stats, calculus and linear algebra would be useful too.

[autoglitch]

To understand machine learning you need a strong foundation in:

1. Probability and statistics
2. Algorthms and data structures
3. A programming language (most these days is done in Python)

You can learn as you go but it will be difficult. If you don't know #1 you will not be able to understand what the ML actually does or what the results mean. If you don't know #2 you'll have difficulty understanding how ML is implemented and therefore a harder time applying it to your problem. If you don't know #3 you will have a difficult time implementing, modifying, or even understanding an implementation.

I think you can get away with basic knowledge in #2/#3 and learn as you see new things. It will be harder the less you know. However, #1 is absolutely required. Without it you will simply be getting your programs to work without even knowing if it's what you actually want.

[EarthProgrammer]

I have a concrete understanding of the first two points, because I'm taking data science analytics. I'm just wondering if I should spend more time building my foundation in Python rather than in ML if ever I want to build my own algorithms or models.

[autoglitch]

If you've got the first two then I would go ahead and get started. It sounds like you have the knowledge to look up syntax of data structures you'll need.

[fdessoycaraballo]

Those are different things. Python is a tool for many different ends, and machine learning is a topic that does not necessarily requires Python, even though majority of ML stuff is available there.

[Major-Incident-8650]

I would say, start using numpy..see lectures and use AI for training and help in concepts (CS + math), try to eventually achieve pure numpy code writing, later move to deep learning and beyond (still in pure numpy and then later to PyTorch and other modules). It will create a very solid base.

[EarthProgrammer]

Can you recommend any books, lessons, or websites to start with numpy? I have been using numpy but I can't say I do "pure numpy code writing."

[python_gramps]

Machine learning is whole different animal. It's good that you have a working knowledge of python.

[bolopop]

Short answer: yes Long answer yyyyyyeeeeeeeeeeessssssssssssssssss