CTR prediction model based on spark(LR, GBDT, DNN)
-
Updated
Mar 6, 2020 - Scala
CTR prediction model based on spark(LR, GBDT, DNN)
Qubole Sparklens tool for performance tuning Apache Spark
This repository contains Spark, MLlib, PySpark and Dataframes projects
Isolation Forest on Spark
Repository used for Spark Trainings
Distributed least squares approximation (dlsa) implemented with Apache Spark
Geospatial Raster support for Spark DataFrames
Easy to use library to bring Tensorflow on Apache Spark
❄️ 🐳 Awesome tools and libs for AI, Deep Learning, Machine Learning, Computer Vision, Data Science, Data Analytics and Cognitive Computing that are baked in the oven to be Native on Kubernetes and Docker with Python, R, Scala, Java, C#, Go, Julia, C++ etc
Intellij template to develop Apache Spark 2.x applications
Hybrid model of Gradient Boosting Trees and Logistic Regression (GBDT+LR) on Spark
Implementation of Spark code in Jupyter notebook. Topics include: RDDs and DataFrame, exploratory data analysis (EDA), handling multiple DataFrames, visualization, Machine Learning
An umbrella project for multiple implementations of model serving
Detailed notes and code to learn machine learning with Apache Spark.
零售电商客户流失模型,基于tensorflow,xgboost4j-spark,spark-ml实现LR,FM,GBDT,RF,进行模型效果对比,离线/在线部署方式总结
Machine Learning Course @ Santa Clara University
Explanatory Data Analysis and ML model building using Apache Spark and PySpark
Add a description, image, and links to the spark-ml topic page so that developers can more easily learn about it.
To associate your repository with the spark-ml topic, visit your repo's landing page and select "manage topics."