Apache Spark Machine Learning - Java Examples

A library having Java and Scala examples for Spark 2.x

Movie recommendation using apache spark

Trabajo fin Programa Experto en Big Data: Procesar set de imágenes de MIRFLICKR en Spark TendorFlow Inception y entrenar modelo para inferencia de etiquetas. Clasificación de imágenes subidas a Twitter con Storm.

Extract sentiment from real time twitter data and correlate it with the stock prices from the yahoo finance API. Train a classifier using the data from both sources to sketch the correlation between them and then use the same to predict future trends based on the sentiment identified at that time.

A new stock trading and prediction model based on a MLP neural network utilizing technical analysis indicator values as features (using Apache Spark MLlib)

A Deep Neural-Network based (Deep MLP) Stock Trading System based on Evolutionary (Genetic Algorithm) Optimized Technical Analysis Parameters (using Apache Spark MLlib)

Code samples, summaries, cheatsheets and other study material for Hadoop MapReduce and Apache Spark

This is an example to show how Spark ML could be used to predict response time of a service for a server-side application

基于Spark的电影推荐系统，包含爬虫项目、web网站、后台管理系统以及spark推荐系统

Java program to detect spam emails using Spark MLib & Logistic Regression

POC of socring rest service od Spark ML Pipelines

基于spark-ml,spark-mllib,spark-streaming的推荐算法实现

The source code developed and used for the purposes of my thesis with the same title under the guidance of my supervisor professor Vasilis Mamalis for the Department of Informatics and Computer Engineering of the University of West Attica.

Embeding the machine learning from spark-mllib into Springboot to provide house price prediction API

Playing with Spark using Java

商品类目预测，使用 Spring Boot 开发框架和 Spark MLlib 机器学习框架，通过 TF-IDF 和 Bayes 算法，训练出一个商品类目预测模型。该模型可以根据商品名称自动预测出商品类目。项目对外提供 RESTFul 接口。

商品关联关系挖掘，使用Spring Boot开发框架和Spark MLlib机器学习框架，通过FP-Growth算法，分析用户的购物车商品数据，挖掘商品之间的关联关系。项目对外提供RESTFul接口。

Wuzzuf data analysis, visualization and apply k-Mean algorithm using Spark-java