Machine Learning can feel a bit complex at times for beginners such as myself however it is not impossible to learn.
I've recently entered the field of Machine Learning and have created a few basic ML models, In the beginning, I had to search a lot for a few good sources to help me in my journey, so the purpose of this post is to hopefully be a one stop list of resources for beginners interested in the field.
Coding with Python
codecademy (free/paid)
w3schools (free)
Machine Learning
Machine Learning (Stanford University) (free/ certification - paid)
towards data science (free)
codebasics (free)
geeksforgeeks (free)
As I go in-depth in the field, I will update (if necessary) this post, if you have any resources which you would like to see in this, feel free to mention them!
Before I end this, I would like to add something. I know it feels a bit overwhelming when you're hit with a ton of maths, libraries, and so on. It's very important to go at this at your own pace. Take as much time as you want, do not be hard on yourself, and if you have any issues with your code, you can always check out Stack Overflow and if you do not see your question there, you can always ask one.
Take your time, make sure you're understanding what you're doing, play around with datasets and have fun!
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