TransmogrifAI (pronounced trăns-mŏgˈrə-fī) is an AutoML library for building modular, reusable, strongly typed machine learning workflows on Apache Spark with minimal hand-tuning

spark 机器学习:利用jupyter工作来讲解算法原理并运行相关例子

Because its never late to start taking notes and 'public' it...

This code is used to build & run a Docker container for performing predictions against a Spark ML Pipeline.

JPMML-SparkML plugin for converting LightGBM-Spark models to PMML

Machine learning utilities for model conversion, serialization, loading etc

Recommendation engine in Java. Based on an ALS algorithm (Apache Spark). Train a new model after N seconds.

A collection of “cookbook-style” scripts for simplifying data engineering and machine learning in Apache Spark.

Helper functions for building complex Spark ML pipelines

bigdata examples about spark and flink

Free High-Quality Financial Data in Azure

BigData Engineering Capstone Project with Tech-stack : Linux, MySQL, sqoop, HDFS, Hive, Impala, SparkSQL, SparkML, git

A machine learning at scale demo on flight delay prediction. The project includes an exploration of a series of data transformation and ML pipelines in Apache Spark (via Databricks).

Transformation of Akamai Logs with Spark ETL and discover of Values and similarities in logs used SparkML and H2O ML

Online latent state estimation with Spark

Twitter Sentiment Analysis using Spark, MongoDB, and Google Cloud

Data analysis using apache spark

Predicting the arrival delay time of commercial flights

Repo for using scala in a kaggle house price prediction.

NodeRED Extension Pack for SparkML / Apache Spark