Easy to use library to bring Tensorflow on Apache Spark

零售电商客户流失模型，基于tensorflow，xgboost4j-spark，spark-ml实现LR，FM，GBDT，RF，进行模型效果对比，离线/在线部署方式总结

Distributed least squares approximation (dlsa) implemented with Apache Spark

Spark NLP for Streamlit

A Spark Streaming implementation for Online Twitter Sentiment Analysis.

In this project I stream data and do crime classification using Spark. This dataset contains incidents derived from the SFPD Crime Incident Reporting system. The data ranges from 1/1/2003 to 5/13/2015. I do some data analysis of crime scenes in different areas and with respect to other parameters.

Apache Spark is one of the most widely used and supported open-source tools for machine learning and big data. In this repo, discover how to work with this powerful platform for machine learning. This repo discusses MLlib—the Spark machine learning library—which provides tools for data scientists and analysts who would rather find solutions to b…

Instance Selection for Big Data

Python scripts to process, and analyze log files using PySpark.

An email spam filter using Apache Spark’s ML library

Code for PySpark Tutorial

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…

Movie Recommendation using Apache Spark MLlib

This is pyspark based NPS(Net Promote Score) text classification model developed using Naive Bayes Classifier.

Yelp recommendation system using collaborative-filtering algorithms.

Predict Current Property Investment opportunities using Data Analysis (Big Data Spark ML)

Ophelian On Mars! More than a simple framework.

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