Python Good books to learn machine learning using Python

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A newcomer to Python and machine learning is seeking recommendations for beginner-friendly resources that cover both topics without delving into complex datasets. They have found initial chapters of their current book manageable but are overwhelmed by the advanced content that follows. Suggestions from experienced users include focusing on separate books for Python programming and machine learning, as there are few resources that effectively combine both. It is advised to explore Python documentation for foundational knowledge and to consider using the Anaconda distribution for its comprehensive data science libraries. Additionally, online tutorials and YouTube videos are recommended as practical learning tools.
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Hello,

I am new to both Python and machine learning. I am trying to learn by reading books on machine learning using Python. I started with this book. I could manage the first 3 chapters (although I had to dissect the codes on Github because not all the codes are included and explained in the book), but then it suddenly went to data sets of 15 and 32 GBs with advanced stuff in Python! I don't want to spend hours on processing datasets now, I just want to learn the basics and see how things work. For those who are in the field of data science, do you have a recommended book that teaches both (Python and machine learning) for a beginner? or any other way to learn both?

Thanks in advance
 
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S_David said:
I am new to both Python and machine learning. I am trying to learn by reading books on machine learning using Python. I started with this book. I could manage the first 3 chapters (although I had to dissect the codes on Github because not all the codes are included and explained in the book), but then it suddenly went to data sets of 15 and 32 GBs with advanced stuff in Python! I don't want to spend hours on processing datasets now, I just want to learn the basics and see how things work. For those who are in the field of data science, do you have a recommended book that teaches both (Python and machine learning) for a beginner? or any other way to learn both?
I don't know much about machine learning, but I suspect that there aren't many books that are devoted to both machine learning and Python. Since you are new to Python, my recommendation is to get a book devoted exclusively to Python programming and another on machine learning, plus the book you mentioned. The same outfit publishes another book, as well.

As I recommended in another of your threads, it's worthwhile to spend time reading the Python docs. They cover a lot of ground, and include many examples.
 
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This article covers a lot of good resources for python and it’s machine learning libraries

https://www.kdnuggets.com/2015/11/seven-steps-machine-learning-python.html

I know many folks go with the anaconda distribution for python as it comes loaded with modules for doing numerical computing in data science and related disciplines.

Here’s more on python

https://lectures.quantecon.org/py/
 
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I've just gone through this process. There are some excellent tutorials on youtube with examples programs written as you go through them. This one is a pretty good starting point. It uses Python and a package called TensorFlow.



Cheers
 
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