GitProfAn's starred repositories
practical-statistics-for-data-scientists
Code repository for O'Reilly book
120-Data-Science-Interview-Questions
Answers to 120 commonly asked data science interview questions.
data-science-interviews
Data science interview questions and answers
machine-learning-zoomcamp
Learn ML engineering for free in 4 months!
Markdown-Cheatsheet
Кратко о синтаксисе Markdown на русском
DataScience
Тетрадки по анализу данных и машинному обучению
stepik_notebooks
Этот репозиторий создан для хранения конспектов по курсам stepik.org
ML-For-Beginners
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
mlcourse.ai
Open Machine Learning Course
simple-neural-network
A simple Python script showing how the backpropagation algorithm works.
awesome-for-beginners
A list of awesome beginners-friendly projects.
basic_stat
Конспект лекций по курсу "Основы статистики"
pytorch-styleguide
An unofficial styleguide and best practices summary for PyTorch
stat453-deep-learning-ss21
STAT 453: Intro to Deep Learning @ UW-Madison (Spring 2021)
NYU-DLSP20
NYU Deep Learning Spring 2020
scikit-learn-videos
Jupyter notebooks from the scikit-learn video series
matplotlib-tutorial
Matplotlib tutorial for beginner
telegram-list
List of telegram groups, channels & bots // Список интересных групп, каналов и ботов телеграма // Список чатов для программистов
ml-course-hse
Машинное обучение на ФКН ВШЭ
stepik-dl-nlp
Материалы курса на Stepik "Нейронные сети и обработка текста"
markdown-here
Google Chrome, Firefox, and Thunderbird extension that lets you write email in Markdown and render it before sending.
dlwpt-code
Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.
algorithms
Minimal examples of data structures and algorithms in Python
python-cheatsheet
Comprehensive Python Cheatsheet
elegant-scipy
1st Edition of Elegant SciPy (O'Reilly Publishers)