Apache Spark Machine Learning - Java Examples
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Updated
Sep 10, 2016 - Java
Apache Spark Machine Learning - Java Examples
A library having Java and Scala examples for Spark 2.x
Developing a basic protoype of distributed computing engine for processing of EEG data
Restaurant recommendations and review text-based quality predictions
Movie review dataset Word2Vec & sentiment classification Zeppelin notebook
Package provides java implementation of big-data recommend-er using Apache Spark
Contains ML implementations of popular algorithms in Python and Spark ML
Trabajo fin Programa Experto en Big Data: Procesar set de imágenes de MIRFLICKR en Spark TendorFlow Inception y entrenar modelo para inferencia de etiquetas. Clasificación de imágenes subidas a Twitter con Storm.
An umbrella project for multiple implementations of model serving
This repository contains Spark, MLlib, PySpark and Dataframes projects
Examples of all Machine Learning Algorithm in Apache Spark
The current assignment is to write the python scripts for Apache Spark. The tasks are divided into three parts as below: WordCount-To count the occurrences of words in a book on a per-book basis and compare the results with those of Assignment1. pyspark.ml. feature- To count the tf-idf values for the unigram and bigrams using the pyspark.ml.feat…
A system that can predict stock price based on Twitter data
This is my pilot project on Apache Spark's ML library on the well known Titanic disaster dataset from Kaggle
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