In this workshop, we will learn about the most common libraries used by data scientists and machine learning engineers. We will learn to manipulate arrays and matrices with numpy, learn how to work with tabulated data using the pandas library, learn how to visualize data and perform exploratory data analysis with matlplotlib, and finally learn how to use simple machine learning models available to us in the scikit-learn library to make predictions from data.
This is the third workshop of the 3-part series on Python.
Part 1: [https://www.meetup.com/AI-Lab/events/259726035]
Part 2: [https://www.meetup.com/AI-Lab/events/259726053]
You can buy a ticket for both workshop #2 and workshop #3 at a discounted price here: [https://www.eventbrite.com/e/python-for-data-science-tickets-58711790546]