Next steps in your #DataScience Education.
Now that you can do basic python programming,set up your environment,know some tools, probably worked with the iris species classification,predicted the Titanic survival rate and you're stuck wondering about the next steps.
Now that you can do basic python programming,set up your environment,know some tools, probably worked with the iris species classification,predicted the Titanic survival rate and you're stuck wondering about the next steps.
The goal of the next step in your #DataScience journey is to understand how decisions about data, algorithms and tools are made.
So I'll suggest the textbook end-to-end work-through where you know what every line does
Textbooks let you follow the thought process of the author
So I'll suggest the textbook end-to-end work-through where you know what every line does
Textbooks let you follow the thought process of the author
My top three books for this stage are :
Python Data Science Handbook by Jake VanderPlas
Python Machine Learning by Sebastian Raschka.
Hands-On Machine Learning with Scikit-Learn and TensorFlow by Aurelien Geron.
Python Data Science Handbook by Jake VanderPlas
Python Machine Learning by Sebastian Raschka.
Hands-On Machine Learning with Scikit-Learn and TensorFlow by Aurelien Geron.
It could be those books or any other books that covers the kind of topics they cover.
No,you can't avoid linear algebra, statistics and programming if you'll be great at this but the internet is generous, there are resources that teaches those in a way you understand.
No,you can't avoid linear algebra, statistics and programming if you'll be great at this but the internet is generous, there are resources that teaches those in a way you understand.
