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Master
Spring Semester 2023
Data Science
21 students
Last updated
Apr 2023
Henrik Leopold
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Overview
Course content
Instructors
About the course
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Course content
General
Digital Lecture
General course information
Announcements
Syllabus
Session 1 - Introduction
Lecture Slides
Session 2 - Computational Thinking and Python
Lecture Slides
Exercise Sheet
Exercise Solution (Jupyter Notebook)
Session 3 - Python for Data Science
Lecture Slides
Exercise Sheet
Exercise Solution (Jupyter Notebook)
Session 4 - Supervised Learning I
Lecture Slides
Exercise Sheet
Exercise Solution (Jupyter Notebook)
BostonHousing.csv
Insurance.csv
Session 5 - Supervised Learning II
Lecture Slides
Exercise Sheet
Exercise Solution (Jupyter Notebook)
BankNote.csv
Session 6 - Supervised Learning III
Lecture Slides
Exercise Sheet
Exercise Solution (Jupyter Notebook)
Diabetes.csv
Session 7 - Unsupervised Learning
Lecture Slides
Exercise Sheet
KMeans Jupyter Notebook
KMeans Jupyter Notebook (zip)
housing.csv
Session 8 - Deep Learning
Lecture Slides
Exercise Sheet
Neural Network Jupyer Notebook
Neural Network Jupyer Notebook (zip)
Session 9 - Language Models
Lecture Slides
Exercise (Jupyter Notebook)
Exercise (Jupyter Notebook - zip)
Case Study (Jupyter Notebook)
Case Study (Jupyter Notebook - zip)
Ecommerce Purchases
Ecommerce Purchases (zip)
chat.txt
chat.txt (zip)
Session 10 - Process Mining
Lecture Slides
Assignment
Assignment Guide
Instructors
33 courses
684 students
Henrik Leopold
Enrolment options
Data Science
Course modified date:
26 Apr 2023
ExpertTrainer:
Henrik Leopold
Enrolled students:
21
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