Code and slides for a workshop I'm hosting on Python and its useful data-processing/machine learning capabilities.
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.gitignore
01_simple_requests.py
02_html_parsing.py
03_advanced_parsing.py
04_reading_csv.py
05_analyzing_dataframe.py
06_exploring_data.py
07_text_tfidf.py
08_dictvectorizer.py
09_scaling.py
10_pca.py
11_svm.py
12_regression.py
13_clustering.py
14_cross_validation.py
LICENSE
README.md
data-cloud.png
data-workshop-notebook.ipynb
pydata_slides.pdf
requirements.txt
sample.csv
sample2.csv

README.md

Data-processing and Machine Learning with Python

Learn how to do data-processing and machine learning with Python

Code and slides for a workshop I originally hosted a KTH (but also at the Swedish Bioinformatics Workshop), showcasing Python and its useful data-processing/machine learning capabilities.

You can view the slides on Speaker Deck, download them and, highly recommended, have a look at the accompanying IPython notebook.