AAUBS Data Science 2024
Info, Schedule & Co
Modules
Literature & Resources
Semester Schedule
Semester Project Requirements
1.
Applied Data Science and Machine Learning
A) Introduction to Data Science (W35-36)
- Welcome Students!
- Data Handling and Manipulation
- Exploratory Data Analysis and Essential Statistics
- Data Visualization in Data Science
B) Rapid Prototyping (W37)
Introduction to Streamlit: Building an Employee Attrition Dashboard
GeoPandas
C) Intro to Unsupervised Machine Learning (W38)
- Introduction to Unsupervised ML
- Recommendation and Similarity Search
- Introduction to Clustering: K-means and Hierarchical Approaches
D) Intro to Supervised Machine Learning (W39)
- Introduction to Supervised ML
- SML - Further topics
2.
NLP & Network Analysis
Natural Language Processing
Basics of NLP
Seq2Seq & Transformers
NLP and LLM Pipelines
Network Analysis
Basics Network Analysis
NW Assignment
LLMs meet Network Analysis
3.
Applied Deep Learning and Artificial Intelligence
Intro to Traditional Deep Learning
Group Assignment 1
Intro to Transformer Models
Group assignment 2
Intro to GPT Models
Group Assignment 3
Into Graph-Based ML
Group Assignment 4
Clear History
Built with
from
Grav
and
Hugo
Social / Business Data Science 2024
>
Applied Data Science and Machine Learning
>
D) Intro to Supervised Machine Learning (W39)
> - SML - Further topics
- SML - Further topics
This session introduces adittional topics of intertest in SML
Notebook(s)
Introduction to Explainable ML
Model training for deployment - Airbnb Case
Inference - Airbnb Case
Repos (Deployment)
Streamlit Repo
FastAPI Repo
Addon
Data engineeering and pipelines
