NameArtem

deployml_course

Репозиторий для открытого курса «Промышленная эксплуатация моделей машинного обучения»

hse_spark_course

Репозиторий учебных материалов для ДПО от ВШЭ (https://cs.hse.ru/dpo/) и курсов по Apache Spark

recommendation_in_practice_tutorial

recom_way

tutorials_and_presentations

There are all my tutorials and presentations from Python or Data Science events

nameartem

hadoop-spark-standalone-docker

feature-engineering-and-feature-selection

A Guide for Feature Engineering and Feature Selection, with implementations and examples in Python.

mlops_from_zero_to_hero

Repository for inner MLOps course. Создан для [пятниц-образовательниц](https://github.com/NameArtem/friday-tutor)

nameartem.github.io

Here are files of my blog

pandas-ta

Technical Analysis Indicators - Pandas TA is an easy to use Python 3 Pandas Extension with 130+ Indicators

AB_Testing

A/B Testing — A complete guide to statistical testing

Awesome-Federated-Machine-Learning

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

awesome-mlops

A curated list of references for MLOps

awesome-time-series

Resources for working with time series and sequence data

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.

friday-tutor

Развиваем команду и образовываемся сами)

handcalcs

Python library for converting Python calculations into rendered latex.

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.

jquery-connections

Add stylable lines connecting page elements. ⮑ Handy for visualizing relations and graph edges. ⮐

Kalman-and-Bayesian-Filters-in-Python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

kedro-community

Examples of data science projects created with Kedro.

practical-mlops-book

[Book-2021] Practical MLOps O'Reilly Book

prml

Repository of notes, code and notebooks in Python for the book Pattern Recognition and Machine Learning by Christopher Bishop

pyspark-advanced

Jupyter Notebooks for PySpark Advanced Workshop

QuantResearch

Quantitative analysis, strategies and backtests

recommenders

Best Practices on Recommendation Systems

recomy

Experiments with recommendations

scikit-uplift

:exclamation: uplift modeling in scikit-learn style in python :snake:

time-series-forecasting-with-python

A use-case focused tutorial for time series forecasting with python