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Обычная версия сайта
2025/2026

Основы языка Python для машинного обучения

Статус: Маго-лего
Когда читается: 3 модуль
Охват аудитории: для своего кампуса
Язык: английский
Контактные часы: 32

Course Syllabus

Abstract

Basic Python for Machine Learning is an elective course for the master level students at ICEF. The course runs in the 3 module. The course consists of three parts. In the first part we cover the basic understanding of python language, how it work and solve some use cases using those python programming. The second part of the course will be little advanced where we will look advance programming, use of libraries, modules. The last part of the course introduces will be a prerequisite of the machine learning understanding, looking into data visualization, analysis, prediction, etc. We use a solution based approach using programming and solve task. Prerequisites: none, but familiarity with basic programming concepts is recommended.