Deeplearning4j Examples (DL4J, DL4J Spark, DataVec)
-
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
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
Build & Convert a Spark NLP Pipeline to PMML
Material related with the specialization of IBM in Coursera
My Website
Add a description, image, and links to the zeppelin-notebook topic page so that developers can more easily learn about it.
To associate your repository with the zeppelin-notebook topic, visit your repo's landing page and select "manage topics."