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 Hanoi or in NobleProg corporate training centers in Hanoi.
NobleProg -- Your Local Training Provider
Ly Thai To
Level 5, 41A Ly Thai To Street, Hanoi, Vietnam
The business centre is conveniently located in Sentinel Place on the corner of Ly Thai To and Tran Nguyen Han Streets. It is ...
The business centre is conveniently located in Sentinel Place on the corner of Ly Thai To and Tran Nguyen Han Streets. It is located within five minutes walk to the Opera House, the Metropole and the Hilton Hanoi Opera and in close proximity to The Ministry of Finance, The Hanoi People's Committee, The State Bank of Vietnam and numerous other commercial properties and foreign banks. Ly Thai To Street is a prominent street which is well known in Hanoi and provides easy of access for any visitors. Key office developments in the vicinity include BIDV Tower, 63 Ly Thai To and the Opera Business Centre and there is high-end shopping malls in the immediate locality.
This instructor-led, live training in Hanoi (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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