AlekseiBogachev's Stars
zalandoresearch/fashion-mnist
A MNIST-like fashion product database. Benchmark :point_down:
lisa-lab/DeepLearningTutorials
Deep Learning Tutorial notes and code. See the wiki for more info.
DataScienceSpecialization/DataScienceSpecialization.github.io
http://DataScienceSpecialization.github.io
nborwankar/LearnDataScience
Open Content for self-directed learning in data science
spark-notebook/spark-notebook
Interactive and Reactive Data Science using Scala and Spark.
DataScienceSpecialization/courses
Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
rushter/data-science-blogs
A curated list of data science blogs
academic/awesome-datascience
:memo: An awesome Data Science repository to learn and apply for real world problems.
datasciencemasters/go
The Open Source Data Science Masters
yandexdataschool/nlp_course
YSDA course in Natural Language Processing
anaconda/docker-images
Repository of Docker images created by Anaconda
collabnix/dockerlabs
Docker - Beginners | Intermediate | Advanced
catboost/tutorials
CatBoost tutorials repository
scikit-learn/scikit-learn
scikit-learn: machine learning in Python
fbeilstein/machine_learning
minhdai2410/machine-learning-data-analysis-yandex-mipt-coursera
Полная специализация "Машинное обучение и анализ данных" от МФТИ и Яндекс на Coursera
Yandex-Practicum/practicum_data_example_repo
Example repository for students of Data Faculty
ageron/handson-ml3
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
gedeck/practical-statistics-for-data-scientists
Code repository for O'Reilly book
google-deepmind/sonnet
TensorFlow-based neural network library
tensorflow/docs
TensorFlow documentation
datacamp/courses-introduction-to-python
Introduction to Python by Filip Schouwenaars
latex-g7-32/latex-g7-32
Шаблон LaTeX для оформления отчетов о НИР, расчётно-пояснительной записки к курсовым и дипломным работам (ГОСТ 7.32-2017 и ГОСТ РВ 15.110-2003).
google/styleguide
Style guides for Google-originated open-source projects
PacktPublishing/Hands-on-Exploratory-Data-Analysis-with-Python
Hands-on Exploratory Data Analysis with Python, published by Packt
rougier/from-python-to-numpy
An open-access book on numpy vectorization techniques, Nicolas P. Rougier, 2017
rougier/matplotlib-tutorial
Matplotlib tutorial for beginner
practical-tutorials/project-based-learning
Curated list of project-based tutorials
rougier/numpy-100
100 numpy exercises (with solutions)
ajcr/100-pandas-puzzles
100 data puzzles for pandas, ranging from short and simple to super tricky (60% complete)