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Математика и Python для анализа данных

100-plus-python-programming-exercises-extended

100+ python programming exercise problem discussed ,explained and solved in different ways

advent-of-code-data

Get your Advent of Code data with a single import statement

advent-of-code-wim

Wim's solutions for https://adventofcode.com/ puzzles

aml-coursera-yandex-hse

Advanced Machine Learning Coursera Specialization from Yandex and HSE

article-resources

A repository for the source code, notebooks, data, files, and other assets used in the data science and machine learning articles on LearnDataSci

awesome-competitive-programming

:gem: A curated list of awesome Competitive Programming, Algorithm and Data Structure resources

bayesian-analysis-with-python

Bayesian Analysis with Python by Packt

cheatsheets

RStudio Cheat Sheets

coding-interview-university

A complete computer science study plan to become a software engineer.

competitive-programming

Solutions to problems from various online judges / contest sites.

coursera-advanced-machine-learning-specialization

Repo for coursera specialization Advanced Machine Learning by Higher School of Economics

coursera-ml-yandex

Here is my homework in MIPT & Yandex Specialization - "Machine Learning and Data Analysis"

coursera_machine-learning_data-analysis

courseramlcourse

cs231n.github.io

Public facing notes page

dask-tutorial

Dask tutorial

data

Data and code behind the articles and graphics at FiveThirtyEight

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.

data-scientist4

Материалы занятий профессии Data Scientist

datacamp_courses

deepreinforcementlearning

A replica of the AlphaZero methodology for deep reinforcement learning in Python

doing_bayesian_data_analysis

Python/PyMC3 versions of the programs described in Doing bayesian data analysis by John K. Kruschke

ds3-spring-2018

Материалы третьего набора офлайн-программы Data Scientist.

handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

interactive-coding-challenges

Interactive Python coding interview challenges (algorithms and data structures). Includes Anki flashcards.

kaggle-classification

A compiled list of kaggle competitions and their winning solutions for classification problems.

kaggle-competitions

All Kaggle competitions

learndatascience

Open Content for self-directed learning in data science

leetcode-my-solutions

This repo records my daily Leetcode problem solutions.