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**