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
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Updated
Sep 29, 2023 - Scala
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
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
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.
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).
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Online latent state estimation with Spark
Twitter Sentiment Analysis using Spark, MongoDB, and Google Cloud
Predicting the arrival delay time of commercial flights
Repo for using scala in a kaggle house price prediction.
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