Události

Thursdays 17:00 - 18:30 
Starting date: 15 February 2018
Finishing date: 8 March 2018
Duration: 4 lessons
Course instructor: Pablo Maldonado

Registration for this course is closed. Please read about our selection process. Follow EDH on Facebook for the latest news and tips.

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 will obtain 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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