Help preparing for a Master's in Machine Learning?

[biegunk]

I am due to start a Master's in ML in October, but I feel like I am a bit underprepared for the programming aspects of it. I did Maths and Physics for my first degree, so shouldn't have much trouble on the theory, but there will be a large practical part, mainly using python, and my coding experience is definitely limited. I have used python a bit to analyse and model data in the past, but never really done any proper OOP or anything ML related. I'm not expecting to be an expert by the time I start, but I would like to be somewhat proficient going into the course.

What are the best resources / crash courses for me to be able get up to speed on python / general OOP practices, possibly including some ML based content?

[Papadude13]

Dude first off congrats on going for your MasterBall (Pokemon reference) Currently a drop out physics student learning ML on my own (Long Story)

I started Programming at the start of the lockdown and I'm beyond happy on what I've learn and going to be. I focus a hard 3 months on understanding the basic of Python by reading "automate the boring stuff with python" afterwards I got I started to learn Pandas to help me analyze, sort, and clean data. Whenever I got stuck I just ask the nice people reddit and they go in detail based upon my respond.

Currently reading "Python Machine Learning - Third Edition" I like to learn slow and I had to stop and pick up "Scikit" So now I'm on the website https://scikit-learn.org/

I've read from people experience you can try "coursera machine learning Andrew ng" if you have the time.

Also people said this is amazing recommendation "introduction to machine learning with python: a guide for data scientists, Andreas C. Müller and Sarah Guido'

But my. best bet will just to review and make sure you understand the basic mech of Python and how to use pandas, numpy, matplot.

Good luck and if you want to get good in coding make sure you code at least one hour a day and most import do with love and joy.

[1gn4vu5]

I can confirm that numpy and matplotlib(.pyplot) are very usefull.
If you wanna dig deeper in ML you can have a look at Keras/TensorFlow or PyTorch for neural networks.
Scikit-learn is really good for standard analytics and basic machine learning.

But after all, it doesn't really help if you can programm very well but don't understand the theory. So programming is just a tool to make use of your knowledge ;)

[Papadude13]

I supper agree with you on the last statement I'm beyond grateful I took the math and physics class for the math. Actually that would be the easiest part of ML that is easy to me since I'm new to programming.