Machine Learning and AI Foundations: Decision Trees with KNIME
With Keith McCormick
Liked by 520 users
Duration: 1h 59m
Skill level: Intermediate
Released: 6/22/2022
Course details
Suggested prerequisites
- General familiarity with supervised machine learning
- Understanding of terms such as target variable, input variable, algorithm, and train/test partition
Decision trees are transparent, available in every platform, and foundational to more advanced techniques like Random Forests and XGBoost. And if you’re a data scientist looking to pivot to machine learning, there’s arguably no better topic to kick off your learning journey. In this course, learn the essentials of machine learning pertaining to predictive analytics and working with decision trees. Along the way, instructor Keith McCormick provides demonstrations using the KNIME Analytics Platform, so you can grasp how these concepts work in real-world scenarios.
Skills you’ll gain
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Meet the instructor
Learner reviews
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Khaled_M_Ali Aklan Albanna
Khaled_M_Ali Aklan Albanna
I.T. Consultant at YBRD | Intelligent systems developer and analyst
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Surojit Dutta
Surojit Dutta
Educator (BIG Data & Analytics) at School of Informatics & IT, Temasek Polytechnic, Singapore
Contents
What’s included
- Practice while you learn 1 exercise file
- Learn on the go Access on tablet and phone
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