sanekalas's Stars
glebmikha/ab-testing-course
egonSchiele/grokking_algorithms
Code for the book Grokking Algorithms (https://amzn.to/29rVyHf)
a-milenkin/Competitive_Data_Science
Материалы по курсу анализу данных
ranalytics/tsa-r
JohnCoates/Aerial
Apple TV Aerial Screensaver for Mac
mrgreene09/computational-neuroscience-textbook
Hosted textbook written by students in NS/PY 357 at Bates College
tonytonov/Rcourse
Materials for my R programming course
Yorko/python_intro
Jupyter notebooks in Russian. Introduction to Python, basic algorithms and data structures
open-data-science/datascience-swiss-knife
Set of common tools and techniques for everyday data science tasks with examples
dgokondra/stepik_notebooks
Этот репозиторий создан для хранения конспектов по курсам stepik.org
MolchanovArt/Likes_prediction
Likes prediction SNA Hackathon 2014
foxbook/atap
Code for Applied Text Analysis with Python
17zuoye/pyirt
A python library of IRT algorithm
inuyasha2012/pypsy
psychometrics package, including MIRT(multidimension item response theory), IRT(item response theory),GRM(grade response theory),CAT(computerized adaptive testing), CDM(cognitive diagnostic model), FA(factor analysis), SEM(Structural Equation Modeling) .
aimir/irt
Item Response Theory in Python
swaroopch/byte-of-python
Beginners book on Python - start here if you don't know programming
donnemartin/data-science-ipython-notebooks
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
esokolov/ml-course-hse
Машинное обучение на ФКН ВШЭ
jrjohansson/scientific-python-lectures
Lectures on scientific computing with python, as IPython notebooks.
jupyter/jupyter
Jupyter metapackage for installation, docs and chat
Yorko/mlcourse.ai
Open Machine Learning Course