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 Melbourne or in NobleProg corporate training centers in Melbourne.
385 Bourke Street is located in the bustling Central Business District (CBD) and retail precinct of Melbourne's commercial hu...
385 Bourke Street is located in the bustling Central Business District (CBD) and retail precinct of Melbourne's commercial hub, making it by far the most sought after address in the City. Positioned directly opposite the Bourke street Mall, the 41 level tower houses a two level retail complex, known as the Galleria Retail Centre. Showcased underneath an impressive high glass ceiling, the retail specialty stores offer the best in giftware, fashion, food and services. The premium grade property is uniquely positioned on a 45 degree angle to the Melbourne CBD grid, providing excellent 360 degree views and has excellent access to public transport, with trams running along both Bourke and Elizabeth Streets and train and bus stations within 500 metres.
Cliftons Perth
Parmelia House, 191 St Georges Terrace, Perth, Australia, 6000
Located within the historic Bishops See precinct, it sits at the western end of Perth’s Commercial Business District
This instructor-led, live training in Melbourne (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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