A system that can predict stock price based on Twitter data

Using Spark to do Machine Learning

This repo contains code for restuarant recommendation system for users based upon business rating value.

😅 A topic model of reddit.com/r/EmojiPasta trained with Spark and an LDA model (NSFW) - Trigger Warning: The r/emojipasta subreddit posts controversial content and anything I have crawled is to provide visibility of a topic modeling some of this controversial content. Unfortunately there is also discriminatory speech which must be called out!

Contains ML implementations of popular algorithms in Python and Spark ML

Developing a basic protoype of distributed computing engine for processing of EEG data

This tutorial presents some examples in order to give a quick overview of the Spark APIs.

spark.ml.transformer that join input dataset with external data using Spatial Join

Code for PySpark Tutorial

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

Examples of using Apache Spark MLlib Pipelines and Structured Streaming on version 2.4.0

将包含所有研究过的机器学习算法,内容主要包括模型原理,模型python实现

Apache Spark is a fast and general-purpose cluster computing system. It provides high-level APIs in Java, Scala, Python and R, and an optimized engine that supports general execution graphs. It also supports a rich set of higher-level tools including Spark SQL for SQL and structured data processing, MLlib for machine learning, GraphX for graph p…

New York City Taxi fare prediction with Spark

Projects for training purposes on Scala and Spark