A curated collection of machine learning resources, including notebooks, code, and books, all of which are either free or open-source
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Updated
Apr 23, 2024 - Jupyter Notebook
A curated collection of machine learning resources, including notebooks, code, and books, all of which are either free or open-source
nbmanips allows you easily manipulate ipynb files
Run your first analysis project on Apache Zeppelin using Scala (Spark), Shell, and SQL
data manipulation & analysis with my streaming history dataset from Spotify
The primary objective of this study is to explore the feasibility of using machine learning algorithms to classify health insurance plans based on their coverage for routine dental services. To achieve this, I used six different classification algorithms: LR, DT, RF, GBT, SVM, FM(Tech: PySpark, SQL, Databricks, Zeppelin books, Hadoop, Spark-Submit)
Deeplearning4j Examples (DL4J, DL4J Spark, DataVec)
US superstore opening analysis
Quick Jupyter and Zeppelin Setup
This repository contains analysis done with spark dataframe in Google Cloud Platform using Zeppelin Notebook and HDFS
The class project of Big Data Technology course in March 2018 at MUM
Leveraging IBM DB2’s Federation Capabilities to Perform SQL Analytics on a Sample Blockchain Insurance Application using Hyperledger Fabric
kubernetes helm charts: zeppelin, rabbitmq, spark, djobi
Educational Data Virtual Lab
Use SQL to build ELT pipelines on a data lakehouse.
Document clustering using KMeans on TF/IDF features on Small Business Innovation Research (SBIR) data
Heart disease classification with data mining(Zeppelin Notebook)
Zeppelin and Spark standalone scheduler cluster connected.
Twitter Sentiment Analysis Using Spark CoreNLP
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