A lot of python content is covered in this tutorial, but there are still a lot of content not covered, if you need to learn, then please use the following method.
Beginners may have a lot of questions. Don’t be afraid. Ask someone who knows it. It’s a good choice to make good use of Google.
w3schools is a dictionary type tutorial, which is not suitable for beginners, but if you have any functions that you don’t know, you can look it up in it.
Sklearn is one of the most commonly used machine learning libraries. If you have any questions, you should consult the official sklearn documentation.
It is worth noting that machine learning does not support large-scale data. If your data exceeds a certain size, then machine learning may not be able to solve it (it takes a few hours to run, or needs to use more than 100GB of memory), At this time you need to use a deep learning framework.
Pytorch is also our very important deep learning library. Keras also supports packaging with pytorch as the bottom layer, so if you are considering using pytorch then you should take a look up in pytorch.
