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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



Artem Seleznev's Projects

danted icon danted

Fast script for installing & configing Danted--Socks5 Proxy Server.

dash-recipes icon dash-recipes

A collection of scripts and examples created while answering questions from the greater Dash community

data-science-ipython-notebooks icon 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.

datainsight icon datainsight

Dedicated area for the development of data insight in the area of predictive analytics from churn prediction, fraud detection, and general machine learning and artificial intelligence.

deequ icon deequ

Deequ is a library built on top of Apache Spark for defining "unit tests for data", which measure data quality in large datasets.

deployml_course icon deployml_course

Репозиторий для открытого курса «Промышленная эксплуатация моделей машинного обучения»

diagrams icon diagrams

:art: Diagram as Code for prototyping cloud system architectures

dtreeviz icon dtreeviz

A python library for decision tree visualization and model interpretation.

dvc icon dvc

⚡️Data & models versioning for ML projects, make them shareable and reproducible

feast icon feast

Feature Store for Machine Learning

findatapy icon findatapy

Python library to download market data via Bloomberg, Eikon, Quandl, Yahoo etc.

finml icon finml

Hands-on ML with Financial Machine Learning Problem Sets

finrl-library icon finrl-library

A Deep Reinforcement Learning Library for Automated Trading in Quantitative Finance. NeurIPS 2020. Please star.

flink_training icon flink_training

A collection of examples to help show different ways to managing state in Apache Flink

friday-tutor icon friday-tutor

Развиваем команду и образовываемся сами)

gitflowde icon gitflowde

This repository is dedicated to the my article https://medium.com/@artemseleznev/data-engineer-data-scientist-git-flow-75cb5c603eb4

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