I've got a grasp of the basics of Python and have been doing some LeetCode problems after diving into data structures and algorithms. Now, I'm really interested in AI and machine learning, but I'm feeling a bit overwhelmed with all the options out there. I've looked at various roadmaps and courses like the Google Crash Course and have tried learning through projects. However, I'm getting lost in all the new tools like NumPy and pandas. I need to really understand something before I can use it and I learn best through visualizations. What's the best way for me to learn AI and ML effectively without spending any money?
3 Answers
Honestly, you don’t need fancy courses; just pick a project and learn as you go. Everyone feels overwhelmed with NumPy and pandas at first, so focus on one specific project, like predicting housing prices, and learn only the parts you need for that.
I got stuck in tutorial hell for ages until I started building on my own. Look up 'Python ML project tutorial' on YouTube, follow along, and pause to Google stuff when you get confused. The mindset of needing to understand everything before doing anything can keep you stuck. There are tons of concepts in ML; just start practicing and understanding will come later!
Check out 100devs! I was part of that community, and it helped me a lot in my learning journey. I also did part of The Odin Project early on, but honestly, 100devs got me my full-time job. Can’t recommend them enough; Leon is a legend!
You're kind of all over the place; I think you need to focus on one path and follow a clear roadmap. Trying to learn too much at once can lead to confusion, so narrowing your focus could really help.
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