spark-mllib topic
Spark_ALS
基于spark-ml,spark-mllib,spark-streaming的推荐算法实现
Spotify-Song-Recommendation-ML
UC Berkeley team's submission for RecSys Challenge 2018
SparkDeepMlpGADow30
A Deep Neural-Network based (Deep MLP) Stock Trading System based on Evolutionary (Genetic Algorithm) Optimized Technical Analysis Parameters (using Apache Spark MLlib)
Machine-Learning
Examples of all Machine Learning Algorithm in Apache Spark
SparkMlpDow30
A new stock trading and prediction model based on a MLP neural network utilizing technical analysis indicator values as features (using Apache Spark MLlib)
product-relation-mining
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。
sparkml-som
:sparkles: Spark ML implementation of SOM algorithm (Kohonen self-organizing map)
MachineLearning
机器学习教程,本教程包含基于numpy、sklearn与tensorflow机器学习,也会包含利用spark、flink加快模型训练等用法。本着能够较全的引导读者入门机器学习。
spark_recomend
使用Spark的MLlib、Hbase作为模型、Hive作数据清洗的核心推荐引擎,在Spark on Yarn测试通过
NYC_Taxi_Trip_Duration
Develop ML models predict taxi trip duration in NYC. Ranked : Top 6% | RMSLE : 0.377 (Kaggle) | #DS