WS23_DS4DH1: Risorse

Argomento	Nome	Descrizione
Part 1: Introduction to Data Science for Humanities	Notebook: Python-Basics (HTML-Version)
	Kick-off slides

Part 2: (Re-)introduction to Python	Notebook: Basics 2 (HTML-Version)

Part 3: Data modeling for data science	Notebook: Numpy (HTML-Version)
	Solution: Bag-of-words
	Solution: Python basics

Part 4: Data Acquisition and Preparation	Notebook: Acquistion and Preprocessing (HTML-Version)
	Dataset: Olympics

Part 5: Explorative Analysis 1 – Descriptive Analysis and visualization	Notebook: Descriptive Statistics (HTML-Version)
	Notebook: Deep-dive into Seaborn (HTML-Version)

Part 6: Explorative Analysis 2 – Clustering and distance functions	Notebook: Clustering and Distance Functions (HTML)
	Notebook: Clustering and distance function (.ipynb)

Part 7: Predictive Analysis (A Gentle Introduction to Machine Learning)	Notebook: Classification (.ipynb)
	Data: reviews_train.csv
	Data: reviews_text.csv
	Text Classification and Clustering: Slides

Part 8: Text and Language I (Computational Linguistics)	Notebook: Text Processing
	Slides: Lexical Semantics
	Slides: Text Representations
	Slides: Information Extraction
	Data: Unlabeled Reviews