eshevelevee Goto Github PK

awesome-math-ru

:books: Математичный список полезных книг

backend_test_homework

book1-exercises

Book 1 -- Exercises for the book

data-science-from-scratch

code for Data Science From Scratch book

datasciencecoursera

datasharing

The Leek group guide to data sharing

deployml_course

Репозиторий для открытого курса «Промышленная эксплуатация моделей машинного обучения»

expected-goals-thesis

A repository for analysis on Expected Goals using StatsBomb and Wyscout data

expected_goals_deep_dive

A tutorial on using cross validation and calibrating predictions for expected goals models in soccer

football_analytics

⚽📊 A collection of football analytics projects, data, and analysis by Edd Webster (@eddwebster), including a curated list of publicly available resources published by the football analytics community.

football_transfers-repo

Webscraping of transfermarkt.com and predicting of the transfer fees

fot-valuing-actions

Friends of Tracking: Tutorial on valuing actions in football.

hexlet-git

hse-shad-ml

:mortar_board: Введение в машинное обучение. Курс от ВШЭ и ШАД на coursera.org

hse-yandex-ml

Введение в машинное обучение. Курс от ВШЭ и Яндекса на coursera.org

hse_advanced_ml

Репозиторий курса ДПО ВШЭ "Продвинутые методы машинного обучения"

hse_ml_research_seminar

iml

Курс "Введение в машинное обучение" (ВМК, МГУ имени М.В. Ломоносова)

iu5-da-2018

Анализ данных. Весенний семестр 2018

last-row

Last row tracking data and code

laurieontracking

Laurie's code for Metrica tracking data.

mapping-match-events-in-python

Luca Pappalardos code for working with and plotting Wyscout data

math-ml-hse-2018

Machine Learning for Mathematics Faculty (HSE) 2018

ml-course-hse

Машинное обучение на ФКН ВШЭ

ml-minor-hse

ml_course_2021

Курсы по машинному обучению в весеннем семестре 2021 года.

national-teams

ozonpyth1

passing-networks-in-python

Sergio Llana's passing network plots with eventing and tracking football data

predicting-football-player-transfer-values

Flatiron School Capstone project. Trying to find out how well players' on-field performance metrics can be used to predict their transfer values.