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KNIME with Python and R for Machine Learning

Practical training combining the capabilities of the KNIME platform with Python and R languages in the context of machine learning. Participants will learn techniques for integrating various analytical tools and learn how to build advanced workflows for ML projects. The workshop focuses on the practical use of the tools in real analytical scenarios.

Issues

  • Integration of analytical tools

  • KNIME workflows

  • Python and R scripts

  • Data preparation

  • ML modeling

  • Optimization of models

  • Validation of results

  • Process automation

  • Deployment of solutions

  • Performance monitoring

  • Integration of systems

  • Best practices in ML

Benefits

  • The participant will be able to effectively combine the capabilities of KNIME, Python and R in machine learning projects
  • The ability to create advanced analytical workflows using multiple tools
  • Will learn to automate data processing and modeling
  • Will learn techniques for optimizing and validating models in a multi-tool environment
  • Will be able to implement ML solutions into a production environment
  • Will develop skills in integrating various analytical tools

Who is this training for?

Data analysts using KNIME
Data Scientists working with multiple tools
Machine Learning Specialists
Business analysts expanding into ML
Data engineers
Researchers using machine learning

Prerequisites

  • Basic knowledge of Python and R
  • Experience in data analysis
  • Knowledge of the basics of machine learning
  • General knowledge of analytics platforms

Training program

01

Configuring the KNIME environment

  • Integration with Python and R
  • Data flow between tools
  • Environmental management
  • Data preparation and analysis
  • KNIME data processing
  • Using Python and R scripts
02

Data transformations

  • Exploratory data analysis
  • Modeling and evaluation
  • Construction of ML models
  • Optimization of hyperparameters
03

Validation of models

  • Comparing results
  • Implementing solutions
  • Automation of workflows
04

Deployment of models

  • Performance monitoring
  • Integration with production systems

Delivery Methods

Online

  • Convenience of participating from anywhere
  • Interactive live sessions with trainer
  • Materials available for 30 days
  • No travel costs

On-site

  • Direct contact with trainer and group
  • Intensive hands-on workshops
  • Networking with other participants
  • Full focus on learning

Frequently asked questions

Who is the KNIME with Python and R for Machine Learning training for?

The target audience includes data analysts using KNIME, Data Scientists working with multiple tools, and Machine Learning Specialists. Level: advanced.

How long is the KNIME with Python and R for Machine Learning training?

The training lasts 2 days. It is delivered online or on-site.

Will I receive a certificate?

Yes — every participant receives a completion certificate confirming acquired competencies. EITT is ISO 9001 certified.

Can this training be conducted for a closed group?

Yes — we offer dedicated closed trainings for companies. We customize the program to your team's needs. Contact us for an individual quote.

Julia Olewińska
Julia Olewińska Opiekun szkolenia

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We train teams at Poland's largest companies

ING Bank - EITT client
mBank - EITT client
PKO Bank Polski - EITT client
PZU - EITT client
Allianz - EITT client
T-Mobile - EITT client
KGHM - EITT client
PGE - EITT client
IKEA - EITT client
InPost - EITT client
Leroy Merlin - EITT client
ZUS - EITT client

Interested in this training?

Contact us - we'll prepare an offer tailored to your organization's needs.

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ISO 9001 quality certified
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