I finished sololearn's course called "Introduction to Python" . Is it enough to start watching "Machine Learning" courses?

Answer 1

You can try and test it out but ML, is typically considered a more advanced topic. Introduction to Python is a beginner course, so you can also do Python Intermediate.

I would also test out some courses outside of SL where they will have lengthier projects such as MIT 6.00.1x or Harvard's CS50 Python to get used to a proper IDE enviornment. You'll need to use an IDE to run things for ML, which is outside of SL's capabilities.

Answer 2

i think first complete "python intermediate" and than start learning ML

Answer 3

I dont think so i would recommend learn the other Python courses and than start machine learning

Answer 4

Alaa Aldeen Shammr, Discrete Mathematics things such as Graphs and Trees are important to be learnt... Data structures and algorithms needed... The requirements of "starting" to learn ML are the "basics" of these things. Very basic things. Though every topic needs some time to cover but not a lot of time. Then when you start to learn ML, you get to know their uses.

Answer 5

Marjuk Sajid
I hope so,
Because some people may exaggerate it by mentioning a lot of math topics
Like linear algebra, calculus , probability theory and so on...
Those things that made us hate school.

Answer 6

At least you must finish python developer

Answer 7

Unfortunately, some people said I need to have I solid understanding of math in addition to python.
Which made me convert to web development instead.
I'm not frustrating you, I'm just talking about myself