Best practices for data science with the Jupyter Notebook

I recently listened to a really interesting talk by Jonathan Whitmore where he discussed the approach his company has to working with data using the Jupyter Notebook. I’d recommend watching it, but I’ve made a brief summary below for my own future reference.

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Machine Learning Recipes

I found an excellent tutorial series on Machine Learning on the Google Developers YouTube channel this weekend. It uses Python, scikit-learn and tensorflow and covers decision trees and k-nearest neighbours (KNN). I really liked the focus on understanding what was going on underneath the hood. I followed along and implemented KNN from scratch and expanded …

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iPython Notebook Presentation

I have a talk today about how I’ve been using the iPython Notebook when prototyping different image processing techniques and their parameters. The presentation involved a bit of background on how to use the notebook and markdown, before I demonstrated how you could use the notebook to rapidly test out the best way to process …

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Educational iPython Notebooks

One of the best things about the iPython notebook is the number of easy-to-follow tutorials it has inspired. I thought I’d share a few that I’ve found on machine learning and statistics. Python for Developers – great resource for those wanting to learn and/or deepen their understanding of Python. Machine Learning with scikit-learn – provides a good …

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