Events at CERGE-EI

Tuesdays and Thursdays 18:00 - 19:30 
Starting date: 12 February 2019
Finishing date: 28 February 2019
Duration: 6 lessons
Course instructor: Pablo Maldonado

Registration for this course is closed.

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In this course we will go to the basics of Machine Learning. At the end of the course you would be familiar with the scikit-learn machine learning library.          

Prerequisites:

• Familiarity with Python.
• The Anaconda distribution for Python 3 should be installed and working on your computer.

Lectures:

• The ML pipeline for classification and regression.
• Decision Trees and ensemble models (gradient boosting, random forests).
• Unsupervised learning: clustering and dimensionality reduction.
• Case study.

Practical assignment:

• During the last lecture you will solve a case study end-to-end and present your findings.

Participants who attend at least 75% of the sessions can claim a Certificate of Attendance issued by CERGE-EI.

About the facilitator:

Pablo Maldonado
Pablo earned his Ph.D. in Applied Mathematics at the Universite Paris VI - Pierre et Marie Curie in France.  He is currently a data science consultant and lecturer at the Czech Technical University in Prague. Previously, he worked for O2 Czech Republic and PricewaterhouseCoopers as a data scientist, and lectured in two Mexican universities. In his spare time, Pablo enjoys cooking and improving his salsa and drumming skills.

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