Hands-on crash course guiding through user-friendly and effective open data science software Knime Analytics Platform
Master key concepts and practical skills through structured learning modules. By completing this curriculum, you'll gain valuable expertise applicable to real-world scenarios.
create machine learning models in Knime Analytics Platform from A to Z – classification and regression
create machine learning models - Regression (simple linear, multilinear, polynomial, decision tree, random forest, gradient booster)
create machine learning models - Classification (decision tree, random forest, naive bayes, KNN, gradient booster)
prepare the data for the machine learning predictive model by using basic manipulating KNIME nodes
Evaluate the performance of the machine learning predictions (confusion matrix, accuracy ratio, scatter plot)
This comprehensive Data analyzing and machine learning Hands-on with KNIME curriculum is designed to take you from foundational concepts to advanced implementation. Each module builds upon the previous, ensuring a structured learning path that maximizes knowledge retention and practical application.
Understand what you need to succeed in this course and determine if it's the right fit for your learning goals
What you need before starting this Data analyzing and machine learning Hands-on with KNIME course:
This course is perfect for:
Everything you need to know about this online course, from duration to certification
Course Instructor
Barbora Stetinova, MBA
Expert instructor with industry experience
Course Language
English
All materials in English
This online course offers comprehensive training with expert instruction, practical exercises, and a certificate of completion. Join thousands of students advancing their careers through quality online education.
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