GitPlanet

Cheap and reliable Node.js hosting starts at $3/month, and $1/month static HTML hosting

Created with love in Canada, visit hostnodejs.com today

Feel like to post an Ad? Learn Details
All Projects → exasol → data-science-examples

exasol / data-science-examples

Licence: MIT license
Collection of data science and machine learning examples with Exasol

Programming Languages

Jupyter Notebook
11667 projects
python
139335 projects - #7 most used programming language

Labels

exasol-integration

Projects that are alternatives of or similar to data-science-examples

virtual-schemas
Entry point repository for the EXASOL Virtual Schemas
Stars: ✭ 24 (+60%)
Mutual labels:  exasol-integration
hadoop-etl-udfs
The Hadoop ETL UDFs are the main way to load data from Hadoop into EXASOL
Stars: ✭ 17 (+13.33%)
Mutual labels:  exasol-integration
r-exasol
The EXASOL package for R provides an interface to the EXASOL database.
Stars: ✭ 22 (+46.67%)
Mutual labels:  exasol-integration
sqlalchemy exasol
SQLAlchemy dialect for EXASOL
Stars: ✭ 34 (+126.67%)
Mutual labels:  exasol-integration
spark-connector
A connector for Apache Spark to access Exasol
Stars: ✭ 13 (-13.33%)
Mutual labels:  exasol-integration

Data Science with Exasol

This repository contains a collection of examples and tutorials for Data Science and Machine Learning with Exasol. In those examples and tutorials you learn how to explore and prepare your data and build, train and deploy your model with and within Exasol.

Currently, this repository is under development and we will add more and more examples and tutorials in the future.

What's inside:

  • Tutorials: Tutorials show a complete workflow on a realistic use case and data.
  • Examples: Examples only show how to integrate a specific technology, but not a whole data science workflow with it.

Prerequisites:

In general, you need:

  • Exasol, in particular with user-defined functions (UDFs). In most cases Version 6.0 and above with Script Language Container support is required. We provide a Community Edition or Docker images.
  • Many examples or tutorials are provided as Jupyter Notebooks. We recommend to install a Jupyter server with access to the Database and the BucketFS (Documentation can be found in the Exasol User Manual in Section 3.6.4).
  • Furthermore, many examples heavily use pyexasol to communicate with the Database. We recommend to install it on your Jupyter server.

Specific prerequisites are stated in each tutorial.

Note that the project description data, including the texts, logos, images, and/or trademarks, for each open source project belongs to its rightful owner. If you wish to add or remove any projects, please contact us at [email protected].