Section Name Description
Recap: Material from DS4HUM-1 File Notebook: Python-Basics (HTML-Version)
File Notebook: Python-Basics 2 (HTML-Version)
File Notebook: Numpy (HTML-Version)
File Notebook: Acquisition and Preprocessing (HTML-Version)
File Notebook: Descriptive Statistics (HTML-Version)
File Notebook: Deep-dive into Seaborn (HTML-Version)
File Notebook: Classification (.ipynb)
File Slides: Text Classification and Clustering
File Notebook: Text processing (.ipynb)
File Slides: Lexical semantics
File Slides: Text representations
File Slides: Information Extraction
Session 1: Introduction File Jupyter Notebooks from DS4DH1 (HTML)
File L1: Course introduction
Session 1.5: Recap File Notebook: Numpy & Pandas (HTML-Version)
File Notebook: Seaborn (HTML-Version)
Session 2: Corpus linguistics & lexicon-semantic resources File Notebook: Corpus Linguistics (HTML-Version)
Session 3: Topic Modeling File TM: Slides
File TM: Notebook (ipynb)
File TM: Notebook (HTML)
Session 4: Networks File Notebook: Graphs & Network analysis (HTML-Version)
Session 5: Evaluation & Statistical Testing File Note: Evaluation & Significance Testing (HTML-Version)
Session 8: Deep Learning File Intro2ML (from DS4DH1)
File Intro2DL: Autoencoders, CNNs, RNNs
File Notebook: Deep Learning (HTML)
File Notebook: Deep Learning (ipynb)
Session 9: Interpretability & Fairness File Notebook: Explainability & Fairness (HTML)
File Notebook: Interpretability & Fairness (ipynb)
Final Project URL Project data
File Final Project: Description
File Project report: LaTex Template
File Project report: Word template
URL Project report: Overleaf LaTex template