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biostatmethods

Data and Code for Methods in Biostatistics in R

courses

Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1

datasciencectacontent

repository for Community Mentor content related to the Johns Hopkins University Data Science Specialization on Coursera

datasciencespcoursenotes

Compiled Notes for all 9 courses in the Coursera Data Science Specialization

datasharing

The Leek group guide to data sharing

deep-learning-book

《Deep Learning》《深度学习》 by Ian Goodfellow, Yoshua Bengio and Aaron Courville

developing_data_products

Developing Data Products Course from the Johns Hopkins Data Science Lab

eegtools

Collection of Python modules for EEG analysis. Includes EDF+ and BDF loaders, scalp plots and commonly used spatial filters.

hands-on-meta-learning-with-python

Learning to Learn using One-Shot Learning, MAML, Reptile, Meta-SGD and more with Tensorflow

introduction_to_ml_with_python

Notebooks and code for the book "Introduction to Machine Learning with Python"

kaggle-titanic

A tutorial for Kaggle's Titanic: Machine Learning from Disaster competition. Demonstartes basic data munging, analysis, and visualization techniques. Shows examples of supervised machine learning techniques.

mne-python

MNE : Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python

moviegeek

A django website used in the book Practical Recommender Systems to illustrate how recommender algorithms can be implemented.

py4e

Web site for www.py4e.com and source to the Python 3.0 textbook

py4inf

Python for Informatics: Exploring Information

shell-novice

Software Carpentry introduction to the shell for novices.

swirl_courses

:mortar_board: A collection of interactive courses for the swirl R package.

wks_test