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Master
Spring Semester 2022
Data Science
45 students
Last updated
Apr 2022
Henrik Leopold
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Overview
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About the course
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Course content
General
Digital lecture
Data Science: Syllabus 2022
General course information
Announcements
Session 1 - Introduction to Data Science
Lecture Slides
Session 2 - Computational Thinking and Python
Exercise Sheet
Lecture Slides
Exercise Solution
Session 3 - Python for Data Science
Exercise Sheet
Lecture Slides
Exercise Solution
Session 4 - Supervised Learning I
Lecture Slides
Exercise Sheet
BostonHousing.csv
Insurance.csv
Jupyter Notebook Solutions
Session 5 - Supervised Learning II
Lecture Slides
Exercise Sheet
diabetes.csv
banknote.csv
Jupyer Notebook Solution
Solution Pen and Paper Exercise
Session 6 - Supervised / Unsupervised Learning
Lecture Slides
Exercise Sheet
Jupyter Notebook (for Exercise)
housing.csv
Session 7 - Neural Networks & Text Mining
Lecture Slides
Exercise Sheet
Jupyter Notebook (for Exercise)
Tweets.csv
Session 8 - Process Mining
Lecture Slides
Exercise Sheet
Event Log
Data Science Project
Project Guide
Instructors
33 courses
684 students
Henrik Leopold
Enrolment options
Data Science
Course modified date:
12 Apr 2022
ExpertTrainer:
Henrik Leopold
Enrolled students:
45
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