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awesome-opensource-data-engineering

An Awesome List of Open-Source Data Engineering Projects

awesome-python

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

awesome-r

A curated list of awesome R packages, frameworks and software.

aws-security-cookbook

AWS Security Cookbook, published by Packt

azure-databricks-cookbook

Azure Databricks Cookbook, Published by Packt

banana

Banana for Solr - A Port of Kibana

bbplot

R package that helps create and export ggplot2 charts in the style used by the BBC News data team

beamexample

An example Apache Beam project.

benchmarks

Comparison tool

best-readme-template

An awesome README template to jumpstart your projects!

books

Books about Nodejs, Angular2, Agile, Clean Code, Docker, Golang, Microservices, REST, TDD, BDD, and Startups.

boston-housing

Project 1 of Udacity's Machine Learning Engineer course

botbuilder-samples

Welcome to the Bot Framework samples repository. Here you will find task-focused samples in C#, JavaScript and TypeScript to help you get started with the Bot Framework SDK!

bse

Books search engine powered by Elasticserch

build-ml-pipeline-for-short-term-rental-prices

Project code for cd0581 refresh taught by Giacomo Vianello

building-a-complete-mobile-app-with-ionic-3

In this Ionic 3 tutorial we will build an example app with a question and answer format (Q&A), similar to StackOverflow. We will go through the core concepts of an Ionic Framework App such as Project Structure, Navigation, UI/UX and Data Integration.

caffe-tools

Some tools and examples for pyCaffe including LMDB I/O, custom Python layers and monitoring training error and loss.

catboost

CatBoost is an open-source gradient boosting on decision trees library with categorical features support out of the box for Python, R

cd0583-historical-data-drift

Calculate and visualize historical data drift

cd0583-model-scoring-and-drift-using-evidently

Monitoring machine learning models in production using Evidently.

cheatsheets-ai

Essential Cheat Sheets for deep learning and machine learning researchers

chicagotransitstreampipeline

clrs

:notebook:Solutions to Introduction to Algorithms

codejam

My solutions to Google Code Jam, and a library of helper functions

coding-challenges-in-python

Jupyter notebooks with Python problems and solutions. Pull requests that optimize these solutions are appreciated.

coding-interview-university

A complete computer science study plan to become a software engineer.

content

Official content for Harvard CS109

cookbook

The Data Engineering Cookbook

coursera-applied-data-science-with-python

Repo for coursera specialization Applied Data Science with Python by University of Michigan

coursera-bioinformatics

My solution to Bioinformatics Specialization (Finding Hidden Messages in DNA; Genome Sequencing; Comparing Genes, Proteins, and Genomes; Molecular Evolution; Genomic Data Science and Clustering; Finding Mutations in DNA and Proteins; Bioinformatics Capstone: Big Data in Biology)