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awesome-machine-learning's Introduction

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:

codeSTACKr.com codeSTACKr | LinkedIn codeSTACKr | Facebook

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



awesome-machine-learning's People

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Watchers

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