A guideline for building practical production-level deep learning systems to be deployed in real world applications.

Exemplary real world application built with React + Redux

Set of real world data science tasks completed using the Python Pandas library

The application that we build in Vue Mastery’s courses starting with Real World Vue

NLP, Text Mining and Machine Learning starter code to solve real world text data problems. Includes: Gensim Word2Vec, phrase embeddings, keyword extraction with TFIDF, Text Classification with Logistic Regression, word count with pyspark, simple text preprocessing, pre-trained embeddings and more.

A curated list of technical talks and articles about real world enterprise frontend development

:memo: An awesome Data Science repository to learn and apply for real world problems.

Real world React apps and their open source codebases for developers to learn from

Easy Machine Learning is a general-purpose dataflow-based system for easing the process of applying machine learning algorithms to real world tasks.