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 curated collection of machine learning resources, including notebooks, code, and books, all of which are either free or open-source
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.
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
Zeppelin Notebooks for use on AWS EMR with and without using Zelp
Document clustering using KMeans on TF/IDF features on Small Business Innovation Research (SBIR) data
Data Mining Census ECON using Apache Spark
KMeans Clustering on Global Terrorism Database
My Website
The class project of Big Data Technology course in March 2018 at MUM
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