principalwater's Stars
skatromb/sweden-migrant-guide
Guide for those, who is planning to or already moved to Sweden
mistercrunch/awesome-data-engineering
A curated list of data engineering tools for software developers
datastacktv/data-engineer-roadmap
Roadmap to becoming a data engineer in 2021
data-goblin/powerbi-macguyver-toolbox
Power BI report .pbip templates and patterns to create special visuals, address specific problems, and have adventures..
Data-Learn/data-engineering
Getting Started with Data Enngineering
palantir/pyspark-style-guide
This is a guide to PySpark code style presenting common situations and the associated best practices based on the most frequent recurring topics across the PySpark repos we've encountered.
checkcheckzz/system-design-interview
System design interview for IT companies
rbhatia46/Data-Science-Interview-Resources
A repository listing out the potential sources which will help you in preparing for a Data Science/Machine Learning interview. New resources added frequently.
minhdai2410/machine-learning-data-analysis-yandex-mipt-coursera
Полная специализация "Машинное обучение и анализ данных" от МФТИ и Яндекс на Coursera
imbushuo/mac-precision-touchpad
Windows Precision Touchpad Driver Implementation for Apple MacBook / Magic Trackpad
matyushkin/ds
👨🔬 In Russian: Обновляемая структурированная подборка бесплатных ресурсов по тематикам Data Science: курсы, книги, открытые данные, блоги и готовые решения.
slgero/testovoe
Home assignments for data science positions
andkret/Cookbook
The Data Engineering Cookbook
py-why/EconML
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.
Data-Learn/data-science
Free Data Science course 4everyone
joelgrus/data-science-from-scratch
code for Data Science From Scratch book