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

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

kubernetes helm charts: zeppelin, rabbitmq, spark, djobi

The export tool for all zeppelin notebooks.

Build & Convert a Spark NLP Pipeline to PMML

Material related with the specialization of IBM in Coursera

My Website