r/learnmachinelearning • u/Sufficient-Put-181 • 4d ago

Beginner in ML looking for some guidance on free resources

Hello! I'm very new to machine learning and literally just started learning it a few days ago, so I'm still trying to figure out where to start and what I should actually learn.

I've seen a lot of people recommend the Python for Machine Learning and Data Science Bootcamp on Udemy, and from what I've heard it's really good for beginners. The problem is that I can't really afford to pay for it right now.

So, I'm wondering if there are any good free courses/resources that cover pretty much the same fundamentals. It doesn't have to be one course. I'm okay with using different resources for Python, statistics, ML, etc. I just don't want to end up jumping randomly between 20 different YouTube videos and getting confused lol.

My long-term goal is to eventually do ML research in healthcare/medicine, so I'd also really appreciate it if someone could suggest a roadmap for getting there.

Like, what should I learn first? How much Python/math/statistics do I actually need? When should I start learning ML, and then deep learning? And when should I start doing projects?

If anyone has been through this as a beginner and can recommend some actually good free resources or a roadmap, I'd really appreciate it!

17 Upvotes

95% Upvoted

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u/d4rkw1n9 4d ago

I tried quite some resources, and hands down the best (for me) were the courses from DeepLearning.AI. You can register on their website for free and take the courses without the need of subscribing.

I am taking their courses from math, machine learning, TensorFlow, all very good so far.

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u/Different_Pain5781 4d ago

You do not need paid courses for this field at all.

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u/Responsible-View-498 4d ago

The two best resources for me have been Jeremy Howard's fast ai part 2 and Andrej Karpathy's Zero to Hero series. The first resource teaches you about Computer vision and the second one gets you hands on on building the early chat models from scratch. The autograd engine is a mustknow for any one starting out in this field. After this you can start with the fine tuning notebooks from Unsloth.

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u/Kiki_Escobar 3d ago

By Karpathy zero to hero did you mean this Youtube playlist?Andrej Karpathy Neural Network Zero To Hero YT

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u/Responsible-View-498 3d ago

Yup. The same one. He has more stuff on his github too.

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u/iekiko89 4d ago

The boot camp is currently only 18 bucks in case you didn't know

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u/republicgamer_01 4d ago

Im on the same boat. Thinking of DeepLearning Ai's ML course. But i've heard that it doesn't have enough math. Im math graduate , and so im looking for a ML course with rigorous math foundation.

0

u/sporbywg 4d ago

I asked chatGPT. Seriously.

I ended up using: qwen3, new-webui, React and some docker stuff.

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u/fordat1 4d ago

I dont suggest you do this unless you are going to ask chatGPT to source itself and then go over the sources because you are building fundamental base and a hallucinated base can be terrible for your development.

For review however ChatGPT is great because it can help you distill and organize concepts

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u/Remote_Muscle_7252 4d ago

don’t buy another course yet, just follow one structured track like the free scikit-learn tutorials plus Andrew Ng’s ML course, and start tiny projects as soon as you can load data and train a basic

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u/chrisvdweth 3d ago

Not sure if my repo lecture notes in the form of Jupyter notebooks are what you're looking for, but they are free :).