课程详情
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.
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了解讲师
学员评价
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Khaled M. Ali Aklan Albanna
Khaled M. Ali Aklan Albanna
IT Advisor | AI (Expert Systems & Data Science) | Banking and ERP Systems
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Surojit Dutta
Surojit Dutta
Educator (BIG Data & Analytics) at School of Informatics & IT, Temasek Polytechnic, Singapore
内容
课程内容
- 边学边练 1 个练习文件
- 随时随地学习 可在平板电脑和手机上访问
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