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Scikit-Learn: Using Machine Learning in Python

December 3 @ 9:00 am 1:00 pm

Motivation

Python is a general-purpose, versatile and popular programming language, that is becoming increasingly popular in science , for machine learning application and for general scripting and data analysis purposes. It’s great as a first language because it is concise and easy to read. However, finding motivation to learn Python or even to consolidate learned skills after joining a workshop, can be hard.

Thus, we want to offer a biweekly Hands-On programming course in Python, to start with basic programming concepts for total beginners and then tackle more advanced topics in the following three appointments.

Course Details:

This course will show you how to install scikit-learn on your machine and how to use some basic Machine Learning algorithms. We will talk about different concepts in Machine Learning, about how to tackle which problems and of course also program to solve some Machine Learning problems together in Python.

Requirements

No deeper knowledge about programming is necessary for the first course. If you have some preferences and / or  are already familiar with some concepts  of Python or programming in general, join form the second/ third/ fourth course on, or just tell us, so we can shift our focus if many of you are interested in a specific topic.

If you already want to prepare some more, try to install Python here:
https://www.python.org/downloads/

You can also start getting familiar with Python, e.g. using one of these online courses:
https://www.datacamp.com/courses/intro-to-python-for-data-science
https://www.codecademy.com/learn/learn-python-3

Correspondence:

For questions write to:

Roberta Guimaraes-Backhaus Roberta.Backhaus@lir-mainz.de  or

Nicolas Ruffini Nicolas.ruffini@lir-mainz.de

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