 Predictive Modelling with Python

DataScience@UL-FRI is an initiative at the Faculty of Computer and Information Science, University of Ljubljna (UL-FRI). Our mission is to make UL-FRI a leading center for teaching, research and industry collaboration in the area of Data Science.

Data Science@UL-FRI

<H3><STRONG>Summary</STRONG></H3>
<P>This workshop is an introductory hands-on course on doing a machine learning project in Python. It is aimed at students and professionals who want to learn the basics of data preparation, classification, regression and model evaluation using the state-of-the-art machine learning library scikit-learn. Familiarity with Python will be helpful, but programming skills in any other programming language would do as well.</P>
<H3><STRONG>Syllabus</STRONG></H3>
<UL>
<LI>
<P>End-to-end machine learning project with real data</P>
</LI>
<LI>
<P>Data visualization</P>
</LI>
<LI>
<P>Feature subset selection</P>
</LI>
<LI>
<P>Classification & regression</P>
</LI>
<LI>
<P>Evaluate your model on test data</P>
</LI>
</UL>
<H3><STRONG>Instructor</STRONG></H3>
<P><A HREF="https://fri.uni-lj.si/en/employees/jure-zabkar" TARGET="_blank" DATA-MSYS-CLICKTRACK="0" REL="nofollow noopener noreferrer">Jure Žabkar</A> is a researcher at AI Lab. He is currently an assistant professor at the University of Ljubljana and has over 10 years of professional experience in applied machine learning. He conducts research in machine learning and data mining, qualitative reasoning, cognitive robotics and systems for decision support. He has participated in EU projects ASPIC, XMEDIA and XPERO and several smaller industrial projects.</P>
<H3><STRONG>Attendee equipment prerequisites</STRONG></H3>
<DIV>
<P>We recommend a working installation of Python 3 and sci-kit library. Access to all the materials, code, and datasets will be provided to participants a couple of days before the workshop.</P>
</DIV>

Faculty of Computer and Information Science

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Predictive Modelling with Python

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