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Learn the basics of deep learning by doing a series of exercises involving coding
If you want to use Python for text analysis, this course is for you!
experiments and snippets used on the blog
Tutorial and introduction into programming with Python for the humanities and social sciences
Tutorial: Natural Language Processing in Python
An example of how to train supervised classifiers for multi-label text classification
A collection of IPython notebooks covering various topics.
Nlp work on Brazil Portuguese newswire text
Workshop materials for scraping Twitter with Python
Describe your scikit-learn estimators for posterity!
Jupyter Notebook for Python Regex Module Examples
This is for the evaluation of the sinfex, social information extraction for traffic, system.
Lime: Explaining the predictions of any machine learning classifier
Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk
oepn-source feature selection repository (DMML Lab@ASU)
Elegant and Easy Tweet Preprocessing in Python
a sandbox for studying different methods of coding categorical variables
Based on a true story
custom loss functions via automatic differentation
A python tutorial on bayesian modeling techniques (PyMC3)
Dive into Machine Learning with Python Jupyter notebook and scikit-learn
Scripts to Analyze Pronto's Data Release
Overview of the peaks dectection algorithms available in Python
Introduction to Statistics using Python