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Practical Machine Learning with Python and scikit-learn


A tutorial for intermediate Python developers with none or little knowledge about Machine Learning.

After presenting an existing dataset and giving a bit of context about the problem, I will show step by step how to analyse it, train a supervised classification model, optimise it and make predictions.

During the tutorial we will make use of the following libraries and tools: pandas, jupyter, matplotlib, numpy, scikit-learn, scipy.

Even if it won’t be possible to follow each singular attendee, it’s strongly suggested to have a laptop ready with Python 3 installed and a virtual environment properly configured and ready to be used. In this way attendees will have the possibility to try the shown code and examples.

in __on domenica 22 aprile at 11:15 **See schedule**


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