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WS23_DS4DH1
Part 4: Data Acquisition and Preparation
Dataset: Olympics
Dataset: Olympics
Requisitos de conclusão
Clique na hiperligação
olympics.csv
para ver o ficheiro.
◄ Notebook: Acquistion and Preprocessing (HTML-Version)
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Notebook: Python-Basics (HTML-Version)
Kick-off slides
Exercise 1: Python basics
Notebook: Basics 2 (HTML-Version)
Exercise: Numpy and Bag-of-words model
Notebook: Numpy (HTML-Version)
Solution: Bag-of-words
Solution: Python basics
Notebook: Acquistion and Preprocessing (HTML-Version)
Notebook: Descriptive Statistics (HTML-Version)
Notebook: Deep-dive into Seaborn (HTML-Version)
Homework: Gather a dataset.
Notebook: Clustering and Distance Functions (HTML)
Notebook: Clustering and distance function (.ipynb)
Notebook: Classification (.ipynb)
Data: reviews_train.csv
Data: reviews_text.csv
Text Classification and Clustering: Slides
Notebook: Text Processing
Slides: Lexical Semantics
Slides: Text Representations
Slides: Information Extraction
Data: Unlabeled Reviews
Notebook: Descriptive Statistics (HTML-Version) ►
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