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. Salzburg onsite live RapidMiner trainings can be carried out locally on customer premises or in NobleProg corporate training centers.
Our training facilities are located atAdolf-Kolping-Str. 10 in Salzburg. Our spacious ...
Overview
Our training facilities are located atAdolf-Kolping-Str. 10 in Salzburg. Our spacious training rooms are located near the Salzach river, within walking distance of the old town, and offer optimal training conditions for your needs.
Arrival
The NobleProg training facilities are conveniently located near the A1 motorway and the train station and Europark Salzburg Taxham train station are easily accessible.
Parking
Parking is available in the surrounding streets around our training rooms.
Local Services
In the area of the city centre there are numerous restaurants and also hotels are within walking distance.
This instructor-led, live training in Salzburg (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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