Data Science for Business Applications 2021
Info, Schedule & Co
Infrastructure
Modules
Literature & Resources
Semester Schedule
Semester Project Requirements
1.
Applied Data Science and Machine Learning
Assignments & Exercises
Exercise 1 - EDA withDigital Nomads
Exercise 2 - UML with Pokemon
M1 (Mandatory) Assignment
Basics of Statistical Programming and Data Manipulation (W36)
Basics Statistical Programming
Basics Data Manipulation
Basics Data Visualization
Basics Machine Learning (W37-38)
Unsupervised Machine Learning (UML)
Supervised Machine Learning (SML)
M1 Workshops
Day 1
Day 2
Warmup (W36)
Intro Talk - Data Science in business
The Data Science Ecosystem
2.
Network Analysis & NLP
Assignments
Exercise 1 - Network Analysis
Exercise t 2 - NLP
M2 (Mandatory) Assignment
Workshops
Day 1 - Networks
Day 2 - Classification of Political US Tweets
Network Analysis
Basics Network Analysis
Basics Network Analysis
Intermediate Network Analysis
Network 2-Mode
Natural Language Processing
Natural Language Processing - Theory
Application: String Manipulation
Application: Working with long text
Application: Vectorization and Topic Modelling
3.
Deep Learning
Assignments
Exercise 1 - AirBnB revisited
M3: Mandatory Assignment
Workshops
Day 1 - Predicting Sequences with Neural Nets
Day 2 - Outlook, Assignment feedback, Guest Lectured
Introduction to Neural Networks
Introduction Neural Networks
Advanced architectures
Convolutional Neural Networks
Recurrent Neural Networks
Clear History
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Data Science for Business Applications 2021
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Deep Learning
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Assignments
Here you will find all the and exercises assignments for this module.