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)

Qubole Sparklens tool for performance tuning Apache Spark

Production-ready K-Means clustering for Apache Spark with pluggable Bregman divergences (KL, Itakura-Saito, L1, etc). 6 algorithms, 740 tests, cross-version persistence. Drop-in replacement for MLlib with mathematically correct distance functions for probability distributions, spectral data, and count data.

Apache Spark™ and Scala Workshops

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。

:star2: :sparkles: Analyze and visualize Twitter Sentiment on a world map using Spark MLlib

[NOT MAINTAINED] Predicting Bit coin price using Time series analysis and sentiment analysis of tweets on bitcoin

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

UC Berkeley team's submission for RecSys Challenge 2018

本项目以应用为主出发，结合了从基础的机器学习、深度学习到目标检测以及目前最新的大模型，采用目前成熟的 第三方库、开源预训练模型以及相关论文的最新技术，目的是记录学习的过程同时也进行分享以供更多人可以直接进行使用。

Random Forests in Apache Spark

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

Natural Korean Processor for Apache Spark

Science des Données Saison 5: Technologies pour l'apprentissage automatique / statistique de données massives et l'Intelligence Artificielle

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

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。

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

:sparkles: Spark ML implementation of SOM algorithm (Kohonen self-organizing map)

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.

Develop ML models predict taxi trip duration in NYC. Ranked : Top 6% | RMSLE : 0.377 (Kaggle) | #DS

A movie recommendation system trained on the MovieLens 20 Million dataset. This system makes use of Collaborative filtering methods to come up with recommendations for a particular user.

Examples of all Machine Learning Algorithm in Apache Spark

Explanatory Data Analysis and ML model building using Apache Spark and PySpark

In this project, I used Decision Tree Learning Model as the main algorithm to build the model. Due to the big amount of flight data, we implement the project using MRJob, PySpark and Spark's MLlib then compare the performance and accuracy of those implementations.

Detailed notes and code to learn machine learning with Apache Spark.

Sentiment Analysis and Data Visualization

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

Multi-class classification on Yelp Data - part of Yelp Dataset Challenge 2017