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
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Updated
Apr 1, 2019 - Java
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
This is the github repo for Learning Spark: Lightning-Fast Data Analytics [2nd Edition]
CTR prediction model based on spark(LR, GBDT, DNN)
Apache Spark™ and Scala Workshops
Qubole Sparklens tool for performance tuning Apache Spark
🌟 ✨ Analyze and visualize Twitter Sentiment on a world map using Spark MLlib
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。
Spark library for generalized K-Means clustering. Supports general Bregman divergences. Suitable for clustering probabilistic data, time series data, high dimensional data, and very large data.
基于spark-ml,spark-mllib,spark-streaming的推荐算法实现
A Deep Neural-Network based (Deep MLP) Stock Trading System based on Evolutionary (Genetic Algorithm) Optimized Technical Analysis Parameters (using Apache Spark MLlib)
Science des Données Saison 5: Technologies pour l'apprentissage automatique / statistique de données massives et l'Intelligence Artificielle
[NOT MAINTAINED] Predicting Bit coin price using Time series analysis and sentiment analysis of tweets on bitcoin
UC Berkeley team's submission for RecSys Challenge 2018
Infuse AI into your application. Create and deploy a customer churn prediction model with IBM Cloud Private for Data, Db2 Warehouse, Spark MLlib, and Jupyter notebooks.
IoT sensor temperature analysis and prediction with IBM Db2 Event Store
A new stock trading and prediction model based on a MLP neural network utilizing technical analysis indicator values as features (using Apache Spark MLlib)
Detailed notes and code to learn machine learning with Apache Spark.
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
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。
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。
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