Joe McCarthy, Director, Analytics & Data Science, Atigeo, LLC
from IPython.display import display, Image, HTML
There are a variety of Python libraries - e.g., Scikit-Learn - for building more full-featured decision trees and other types of models based on a variety of machine learning algorithms. Hopefully, this primer will have prepared you for learning how to use those libraries effectively.
Many Python-based machine learning libraries use other external Python libraries such as NumPy, SciPy, Matplotlib and pandas. There are tutorials available for each of these libraries, including the following:
There are many machine learning or data science resources that may be useful to help you continue the journey. Here is a sampling:
Please feel free to contact the author ([Joe McCarthy](mailto:joe@interrelativity.com?subject=Python for Data Science)) to suggest additional resources.
Notebooks in this primer: