Online or onsite, instructor-led live RapidMiner training courses demonstrate through interactive hands-on practice how to use RapidMiner Studio for data preparation, machine learning, and predictive model deployment.
RapidMiner training is available as "online live training" or "onsite live training". Online live training (aka "remote live training") is carried out by way of an interactive, remote desktop. Onsite live RapidMiner training can be carried out locally on customer premises in Bács-Kiskun or in NobleProg corporate training centers in Bács-Kiskun.
NobleProg -- Your Local Training Provider
Kecskemét
The Four Points Conference Center, Izsáki út 6, Kecskemét, hungary, 6000
In the Middle of It All. The Four Points by Sheraton Kecskemet Hotel and Conference Center is near the center of this major i...
In the Middle of It All. The Four Points by Sheraton Kecskemet Hotel and Conference Center is near the center of this major industrial city between Budapest and Szeged. Budapest Ferenc Liszt International Airport (BUD) is approximately 35 minutes away via Highway M5. The Place to Meet. The modern conference venues span 1,400 square meters, including a 380-square meter ballroom.
This instructor-led, live training in Bács-Kiskun (online or onsite) is aimed at intermediate-level data analysts who wish to learn how to use RapidMiner to estimate and project values and utilize analytical tools for time series forecasting.
By the end of this training, participants will be able to:
Learn to apply the CRISP-DM methodology, select appropriate machine learning algorithms, and enhance model construction and performance.
Use RapidMiner to estimate and project values, and utilize analytical tools for time series forecasting.
RapidMiner is an open source data science software platform for rapid application prototyping and development. It includes an integrated environment for data preparation, machine learning, deep learning, text mining, and predictive analytics.
In this instructor-led, live training, participants will learn how to use RapidMiner Studio for data preparation, machine learning, and predictive model deployment.
By the end of this training, participants will be able to:
Install and configure RapidMiner
Prepare and visualize data with RapidMiner
Validate machine learning models
Mashup data and create predictive models
Operationalize predictive analytics within a business process
Troubleshoot and optimize RapidMiner
Audience
Data scientists
Engineers
Developers
Format of the Course
Part lecture, part discussion, exercises and heavy hands-on practice
Note
To request a customized training for this course, please contact us to arrange.
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