Deeplearning4j Examples (DL4J, DL4J Spark, DataVec)
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Updated
May 16, 2023 - Java
Deeplearning4j Examples (DL4J, DL4J Spark, DataVec)
A Docker container with a full Hadoop cluster setup with Spark and Zeppelin
Use SQL to build ELT pipelines on a data lakehouse.
A curated collection of machine learning resources, including notebooks, code, and books, all of which are either free or open-source
Leveraging IBM DB2’s Federation Capabilities to Perform SQL Analytics on a Sample Blockchain Insurance Application using Hyperledger Fabric
Zeppelin Notebooks for use on AWS EMR with and without using Zelp
Edit code in IntelliJ, eval/run in Zeppelin notebook
This is the repository for Youtube Project for the subject PBDA. We are implementing analysis for finding top videos in each and every category. Also, we are planning to find the top trending words in each category.
Movie review dataset Word2Vec & sentiment classification Zeppelin notebook
Snorkel - Bootstrap your Data Science
The objective of this project is to utilize the IMDB data set to generate Meaningful and Interesting Insights and then create a movie rating model based on average IMDB ratings and a sentiment analysis score of user tweets. And also to create an accurate Machine Learning model to predict average movie ratings based on some key features.
Twitter Sentiment Analysis Using Spark CoreNLP
KMeans Clustering on Global Terrorism Database
Quellcode für den Artikel "Datenanalyse mit Spark und Apache Zeppelin" im Java Magazin 07/2016
Document clustering using KMeans on TF/IDF features on Small Business Innovation Research (SBIR) data
Performed ETL process completely in the cloud, uploaded a DataFrame to an RDS instance, and used PySpark to perform a statistical analysis of selected data.
Data Mining Census ECON using Apache Spark
Material related with the specialization of IBM in Coursera
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