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Academic Supervisor

Koldanov, Petr

Scientific Supervisor

Kalyagin, Valery A.

Manager

Nikolaeva, Yulia

Contacts

136 Rodionova street, Room 408
Nizhny Novgorod, 603155, Russia

Phone: +7 (831) 432-01-05 *6404

Email: nmulihova@hse.ru

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Delivered at:: Department of Applied Mathematics and Informatics (Faculty of Informatics, Mathematics, and Computer Science (HSE Nizhny Novgorod))

Course type:: Compulsory course

When:: 2 year, 2 module

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Abstract

The study of this discipline is based on the following courses: • Machine learning • Data analysis methods To master the discipline, students must possess the following knowledge and competencies: • Programming method • Linear algebra Probability and statistics The main provisions of the discipline can be used in their professional activities. https://www.coursera.org/learn/competitive-data-science

Master’s Programme 'Data Mining'

Contacts

How to Win a Data Science Competition: Learn from Top Kagglers

Course Syllabus

Abstract