Deeplearning4j Examples (DL4J, DL4J Spark, DataVec)
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Updated
May 16, 2023 - Java
Deeplearning4j Examples (DL4J, DL4J Spark, DataVec)
Use SQL to build ELT pipelines on a data lakehouse.
A collection of open-source and free machine learning resources
A Docker container with a full Hadoop cluster setup with Spark and Zeppelin
Movie review dataset Word2Vec & sentiment classification Zeppelin notebook
Snorkel - Bootstrap your Data Science
Edit code in IntelliJ, eval/run in Zeppelin notebook
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.
Apache Zeppelin Extension for VS Code
Hadoop3.2 single/cluster mode with web terminal gotty, spark, jupyter pyspark, hive, eco etc.
Leveraging IBM DB2’s Federation Capabilities to Perform SQL Analytics on a Sample Blockchain Insurance Application using Hyperledger Fabric
nbmanips allows you easily manipulate ipynb files
kubernetes helm charts: zeppelin, rabbitmq, spark, djobi
Document clustering using KMeans on TF/IDF features on Small Business Innovation Research (SBIR) data
Zeppelin Notebooks for use on AWS EMR with and without using Zelp
Data Mining Census ECON using Apache Spark
KMeans Clustering on Global Terrorism Database
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