nameartem Goto Github PK

followers: 104.0 following: 56.0 repos: 176.0 gists: 0.0

Name: Artem Seleznev

Type: User

Company: Magnit

Bio: CDO at Nuum #datagansta Member of NumFocus

Location: Moscow, Russia

`Hello 👋`

`Welcome to my Github! I like to write in Python 🐍 and I'm exploring Machine Learning ✨`

Tech Stack

 man nameartem
  Main role:            CDO / CDA
  Practice area:        Data Science
  Main language:        Python, C++
  Additional languages: Scala, Java
  Databases:            Oracle, DB2, Postgres, Teradata, Hadoop
  ML libs:              Scikit-learn, PyTorch, TensorFlow, CatBoost, XgBoos, LightGBM, PySpark
  Visualization libs:   Plotly, Seaborn, Bokeh, Altair, Folium(Geo)
  Favorite libs:        Kedro, FastApi, Flask, Airflow/Bonobo
  Other tech:           Docker, Git

Connect with me:

Repositories

`Repositories of my courses (where I am the author) and open source projects`

`Oткрытый курс по «Промышленная эксплуатация моделей машинного обучения»`

`Здесь представлены интересные статьи и методы, которые я попробовал или часто использую`

`Постоянно обновляемый репозиторий по настройке класстера для Hadoop/Spark (и прочих Apache инфраструктурных инструментов)`

`Репозиторий с Hadoop/Spark на Docker для инфраструктуры курсов по Анализу больших данных на Spark`

`Курс по анализу данных на Apache Spark`

`Пятницы-образовательницы от Magnit AI`

Artem Seleznev's Projects

ab_testing

A/B Testing — A complete guide to statistical testing

abandittesting

No Regrets: A deep dive comparison of bandits and A/B testing

actions-ml-cicd

A Collection of GitHub Actions That Facilitate MLOps

algorithms

A collection of algorithms and data structures

apache_cluster

This repository is dedicated to installation and configuration cluster with Apache products

awesome-automl-and-lightweight-models

A list of high-quality (newest) AutoML works and lightweight models including 1.) Neural Architecture Search, 2.) Lightweight Structures, 3.) Model Compression, Quantization and Acceleration, 4.) Hyperparameter Optimization, 5.) Automated Feature Engineering.

awesome-data-engineering

A curated list of data engineering tools for software developers

awesome-federated-machine-learning

Everything about federated learning, including research papers, books, codes, tutorials, videos and beyond

awesome-flink

😎 A curated list of amazingly awesome Flink and Flink ecosystem resources

awesome-hacking

A curated list of awesome Hacking tutorials, tools and resources

awesome-jira

:clipboard: A curated list of awesome Atlassian's JIRA tips and tricks, tutorials and best practices.

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

awesome-mlops

A curated list of references for MLOps

awesome-production-machine-learning

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

awesome-python

A curated list of awesome Python frameworks, libraries, software and resources

awesome-recsys-papers

The awesome and classic papers in recommendation system!!! Good luck to every RecSys-learner!

awesome-scala

A community driven list of useful Scala libraries, frameworks and software.

awesome-streamlit

The purpose of this project is to share knowledge on how awesome Streamlit is and can be

awesome-time-series

Resources for working with time series and sequence data

bigdataanalyticswithspark

Code for my videos on big data analytics with Apache Spark using Scala.

build-your-own-x

🤓 Build your own (insert technology here)

business-machine-learning

A curated list of practical business machine learning (BML) and business data science (BDS) applications for Accounting, Customer, Employee, Legal, Management and Operations.

c-for-data-science

C++ programming for Data Science. K-means clustering. K-nearest neighbor algorithm. Neural Networks.

caserecommender

Case Recommender: A Flexible and Extensible Python Framework for Recommender Systems

chart.xkcd

xkcd styled chart lib

cleardesktop

This code saves your desktop clear. All banned files are moved to user/Trash and they are removed every friday. (Idea was created for save student's desktop clear)

cml

♾️ CML - Continuous Machine Learning | CI/CD for ML

nameartem Goto Github PK

Hello 👋

Welcome to my Github! I like to write in Python 🐍 and I'm exploring Machine Learning ✨

Tech Stack

Connect with me:

Repositories

Repositories of my courses (where I am the author) and open source projects

Oткрытый курс по «Промышленная эксплуатация моделей машинного обучения»

Здесь представлены интересные статьи и методы, которые я попробовал или часто использую

Постоянно обновляемый репозиторий по настройке класстера для Hadoop/Spark (и прочих Apache инфраструктурных инструментов)

Репозиторий с Hadoop/Spark на Docker для инфраструктуры курсов по Анализу больших данных на Spark

Курс по анализу данных на Apache Spark

Пятницы-образовательницы от Magnit AI