📚 A public list of APIs from round the web.

Open Source Self-Hosted Business Intelligence Platform

Simple HTML5 Charts using the <canvas> tag

JS libraries for mapping trade using d3.js

HackerRank AI Problems

A notebook for machine learning interview

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

A Fast Deep Learning Model to Upsample Low Resolution Videos to High Resolution at 30fps

Sample code for the Tableau JavaScript API

The Data Engineering Cookbook

This is the curriculum for "Learn Computer Vision" by Siraj Raval on Youtube

Books, Presentations, Workshops, Notebook Labs, and Model Zoo for Software Engineers and Data Scientists wanting to learn the TF.Keras Machine Learning framework

A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)

Predictive Models in Production

✅ Curated list of resources for college students

Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

The Open Source Data Science Masters

Open Machine Learning Course

⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.

Prediction of where a new AirBnB user will book his first Destination

The Bug Hunters Methodology

Analytics at NYU by JC Bonilla

A collection of (mostly) technical things every software developer should know about

Simple Job Processing in Elixir with Mnesia ⚡

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

Notebooks from edX course on Apache Spark. Data cleaning and construction of machine learning pipelines with Pyspark on Databricks platform.

Learn the pyspark API through pictures and simple examples

A notebook with some notes and examples about classification, regression, exploration and recommendation with apache-pyspark.

Decrypted content of eqgrp-auction-file.tar.xz

Apache Spark (PySpark) Practice on Real Data