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Białystok

Wisławy Szymborskiej 2, Białystok, Poland, 15-424

Located on the prestigious Wisławy Szymborskiej Street No. 2, the building is in the heart of Bydgoszcz, the capital of the Podlaskie Voivodeship. This location provides excellent accessibility and proximity to the city's main attractions, administrative centers, and commercial areas. Visitors enjoy the convenience of proximity to public transportation, local services, and the rich culture of Bydgoszcz. This stand-alone facility is located in a dynamic part of Podlaskie.

Explore Our Courses

Advanced Analytics with RapidMiner

 14 Hours

This instructor-led, live training in podlaskie (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.
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RapidMiner for Machine Learning and Predictive Analytics

 14 Hours

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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