A list of useful resources to learn Data Engineering from scratch

Using Google's Universal Sentence Encoder and VaderSentiment and job site data: top 6 similar posts are found found each post and sentiment tagged. Results are stored in Mongo and indexed with Solr.

The goal of CLAIMED is to enable low-code/no-code rapid prototyping style programming to seamlessly CI/CD into production.

A concise resource repository for machine learning

Skill Representations in Vector Space

Scikit-Learn, NLTK, Spacy, Gensim, Textblob and more

A web app to show users most requested skills for different job titles

Open Source Thesaurus of Job Titles in US English

A curated list of awesome Machine Learning frameworks, libraries and software.

Novel Job Tag Classifier

This repository holds all the code for the site http://www.adventuresinmachinelearning.com

This sample enables easy training of a multiple output regression Keras model with hyperparemeter tuning and distributed training, all on the Google ML Engine or locally with the gcloud sdk :)

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

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep lear…

A crash course in six episodes for software developers who want to become machine learning practitioners.

Lectures on scientific computing with python, as IPython notebooks.

An opinionated list of awesome Python frameworks, libraries, software and resources.