eloyam-acid-bunny's Stars
ageron/handson-ml
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.
lnishan/awesome-competitive-programming
:gem: A curated list of awesome Competitive Programming, Algorithm and Data Structure resources
rossant/awesome-math
A curated list of awesome mathematics resources
sindresorhus/awesome
😎 Awesome lists about all kinds of interesting topics
bayandin/awesome-awesomeness
A curated list of awesome awesomeness
demidovakatya/vvedenie-mashinnoe-obuchenie
:memo: Подборка ресурсов по машинному обучению
demidovakatya/mashinnoye-obucheniye
:books: Специализация «Машинное обучение и анализ данных»
dive-into-machine-learning/dive-into-machine-learning
Free ways to dive into machine learning with Python and Jupyter Notebook. Notebooks, courses, and other links. (First posted in 2016.)
esokolov/ml-course-hse
Машинное обучение на ФКН ВШЭ
esokolov/ml-course-msu
Lecture notes and code for Machine Learning practical course on CMC MSU
andriygav/MachineLearningSeminars
Семинары А.В. Грабового к лекционному курсу К.В. Воронцова.
mmp-mmro-team/mmp_mmro_spring_2021
mmp-practicum-team/mmp_practicum_fall_2019
Лекции и материалы по курсу "Практикум на ЭВМ 2019/2020" осеннего семестра для студентов 3 курса кафедры ММП, ВМК МГУ
mmp-mmro-team/mmp_mmro_fall_2020
Материалы и домашние задания по семинарам "ММРО 2020/2021" осеннего семестра для студентов 3 курса кафедры ММП, ВМК МГУ и 5 курса кафедры ИИТ
alexsosn/MarslandMLAlgo
Code and data for the second edition of the textbook `Machine Learning: An Algorithm Perspective" by Stephen Marsland.
Yorko/python_intro
Jupyter notebooks in Russian. Introduction to Python, basic algorithms and data structures
mmp-practicum-team/mmp_practicum_fall_2020
Лекции и материалы по курсу "Практикум на ЭВМ 2020/2021" осеннего семестра для студентов 3 курса кафедры ММП, ВМК МГУ
MelLain/mipt-python
Python lectures and tasks for MIPT and MSU students (in russian)
rushter/MLAlgorithms
Minimal and clean examples of machine learning algorithms implementations
nborwankar/LearnDataScience
Open Content for self-directed learning in data science
hse-ami/lectures
Лекции ПМИ
GnuriaN/Python-Roadmap
Дорожная карта по изучению Python
ossu/computer-science
🎓 Path to a free self-taught education in Computer Science!
ipython-books/minibook-2nd-code
Code of the IPython Minibook, 2nd edition (2015)
ml-tooling/best-of-jupyter
🏆 A ranked list of awesome Jupyter Notebook, Hub and Lab projects (extensions, kernels, tools). Updated weekly.
yhatt/marp-cli-example
The good starter for using Marp via Marp CLI, by the author of Marp
adam-p/markdown-here
Google Chrome, Firefox, and Thunderbird extension that lets you write email in Markdown and render it before sending.
PacktPublishing/TensorFlow-Machine-Learning-Cookbook-Second-Edition
TensorFlow Machine Learning Cookbook Second Edition, published by Packt
pandas-dev/pandas
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
Yorko/mlcourse.ai
Open Machine Learning Course