Learn Apache Spark in Scala, Python (PySpark) and R (SparkR) by building your own cluster with a JupyterLab interface on Docker. ⚡

Notebooks for learning deep learning

A bunch of shiny modules that let shiny sense the world around it.

Python code for common Machine Learning Algorithms

A sample app to classify job descriptions built with Watson's Natural Language Classifier.

WInte.r is a Java framework for end-to-end data integration. The WInte.r framework implements well-known methods for data pre-processing, schema matching, identity resolution, data fusion, and resu…

Data Integration - Schema Matching & Mapping

Lightweight configuration and access to multiple databases in a single project

Social Analytics with R

R package for Customer Behavior Analysis

Reinforcement learning resources curated

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

Tidy anomaly detection

Learn how to design, develop, deploy and iterate on production-grade ML applications.

My first Python repo with codes in Machine Learning, NLP and Deep Learning with Keras and Theano

Learning embeddings for classification, retrieval and ranking.

A library for Multilingual Unsupervised or Supervised word Embeddings

Labs and demos for courses for GCP Training (http://cloud.google.com/training).