Setting up Python for machine learning: scikit-learn and Jupyter Notebook
Want to get started with machine learning in Python? I'll discuss the pros and cons of the scikit-learn library, show how to install my preferred Python distribution, and demonstrate the basic functionality of the Jupyter Notebook. If you don't yet know any Python, I'll also provide four recommended resources for learning Python.
Download the notebook: https://github.com/justmarkham/scikit...
Six reasons why I recommend scikit-learn: http://radar.oreilly.com/2013/12/six-...
API design for machine learning software: http://arxiv.org/pdf/1309.0238v1.pdf
Should you teach Python or R for data science?: https://www.dataschool.io/python-or-r...
scikit-learn installation: http://scikit-learn.org/stable/instal...
Anaconda installation: https://www.anaconda.com/download/
Jupyter installation: https://jupyter.readthedocs.io/en/lat...
nbviewer: http://nbviewer.jupyter.org/
IPython documentation: http://ipython.readthedocs.io/en/stable/
Jupyter Notebook quickstart: http://jupyter.readthedocs.io/en/late...
GitHub's Mastering Markdown: https://guides.github.com/features/ma...
Codecademy's Python course: https://www.codecademy.com/learn/lear...
DataQuest: https://www.dataquest.io/
Google's Python class: https://developers.google.com/edu/pyt...
Python for Informatics: https://www.py4e.com/
WANT TO GET BETTER AT MACHINE LEARNING? HERE ARE YOUR NEXT STEPS:
1) WATCH my scikit-learn video series:
• Machine learning in Python with sciki...
2) SUBSCRIBE for more videos:
https://www.youtube.com/dataschool?su...
3) JOIN "Data School Insiders" to access bonus content:
/ dataschool
4) ENROLL in my Machine Learning course:
https://www.dataschool.io/learn/
5) LET'S CONNECT!
Newsletter: https://www.dataschool.io/subscribe/
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