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Advanced Practical Course Data Science for Computer Networks (Winter 2017/2018): Difference between revisions
Advanced Practical Course Data Science for Computer Networks (Winter 2017/2018) (view source)
Revision as of 15:13, 24 July 2017
, 24 July 2017→Course Organization
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In this course, you will complete several practical tasks in the realm of data analysis. These tasks can include both exploratory (descriptive) data analysis as well as the application of machine learning algorithms to specific datasets. The course is structured as a competition, i.e., all groups of students will receive the same tasks. | In this course, you will complete several practical tasks in the realm of data analysis. These tasks can include both exploratory (descriptive) data analysis as well as the application of machine learning algorithms to specific datasets. The course is structured as a competition, i.e., all groups of students will receive the same tasks. | ||
Each team will need to present their solution for each task. Intermediate reports will have to be submitted from time to time and a final report needs to be submitted at the end of the semester ( | Each team will need to present their solution for each task. Intermediate reports will have to be submitted from time to time and a final report needs to be submitted at the end of the semester (March 31). | ||
==Prerequisites== | ==Prerequisites== | ||