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DTSTART;TZID=UTC:20220520T090000
DTEND;TZID=UTC:20220520T130000
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CREATED:20220302T093848Z
LAST-MODIFIED:20220405T080332Z
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SUMMARY:Scikit-Learn: Using Machine Learning in Python
DESCRIPTION:Motivation \n\n\n\nPython 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. \n\n\n\nThis is the third appointment out of four in our 2022 spring Python Course Series. Here we want to cover some basic machine learning techniques with the Python package scikit-learn and deepen our skills in plotting with seaborn. \n\n\n\nCourse Details: \n\n\n\nThis 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. \n\n\n\nRequirements \n\n\n\nYou should already feel quite comfortable in programming in python and bring some prior knowledge in how to work with pandas\, the data managment library in python. If you joined the second course and were able to follow its contents\, you should also be able to follow all concepts introduced in this course- even though this time we will have to introduce some more theoretical concepts than before! \n\n\n\n \n\n\n\n \n\n\n\nCorrespondence: \n\n\n\nFor questions write to: \n\n\n\nNicolas Ruffini Nicolas.ruffini@lir-mainz.de \n\n\n\n\n\n Registration:  \n\n\n\n Registration is available after login – if you do not have an ISyN-Account yet\, create one\, using the “Become a member”-Button in the top
URL:https://isyn-mainz.de/event/scikit-learn-using-machine-learning-in-python-2/
LOCATION:LIR Mainz\, Wallstraße 7\, Mainz\, 55122\, Germany
CATEGORIES:ISyN-Event,Learning Python Series
ORGANIZER;CN="Nicolas Ruffini":MAILTO:nicolas.ruffini@lir-mainz.de
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