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DTSTART;VALUE=DATE:20260504
DTEND;VALUE=DATE:20260505
DTSTAMP:20260417T042045
CREATED:20250527T152427Z
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UID:89065-1777852800-1777939199@www.sixsigmaclub.de
SUMMARY:Workshop: Statistical Modeling & Machine Learning
DESCRIPTION:Participants acquire in-depth knowledge of modern data modeling\, are able to integrate ML methods into their work in a meaningful way and support data-driven decisions for process improvements. \nCore content of this module: \n➡ Multivariate methods and classical regression models (refresher) to refresh statistical basics.\n➡ Introduction to data orchestration and machine learning – understanding supervised and unsupervised learning.\n➡ Model setup with KNIME®\, Minitab® and Python\, including data preparation\, feature engineering and validation.\n➡ Classification and regression methods such as decision trees\, Naive Bayes or neural networks.\n➡ Differences between classical and ML-based models\, including fields of application and limitations.\n➡ Practical application of ML methods for process optimization\, including visualization and interpretation.\n➡ Confident handling of model quality\, cross-validation and model comparison for well-founded decisions. \n\n\nDates (ONLINE)\n\nBlock 1 (8h): 08.10.2025\, from 08:00 to 17:00\nBlock 2 (4h): 09.10.2025\, from 08:00 am to 12:00 pm\nBlock 3 (4h): 30.10.2025\, from 08:00 a.m. to 12:00 p.m.\n\nBecome part of the Data Excellence Experience – we look forward to your participation!\nFurther modules and information: LINK \n_________________________________________________________________________ \n \n  \n  \nYou can find other interesting dates relating to quality management in the QZ-online.de diary\n__________________________________________________________________________
URL:https://www.sixsigmaclub.de/en/event/workshop-statistical-modeling-machine-learning/
LOCATION:ESSC-D Workshop / Training
CATEGORIES:ESSC-D Workshop / Training,Module training
ORGANIZER;CN="European Six Sigma Club Germany e.V.":MAILTO:buero@sixsigmaclub.de
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