Context Summary: To make it possible to visualize, we consider only two features: petal length, and petal width and fit the model to this data. The tutorial is the first of its kind explaining in a layman's term on how to use scikit-learn library and for a simple classification task.
Support Vector Machine Svm Iris Dataset - General Summary
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General Summary
In this video, we will see one of the most popular examples of classification in To make it possible to visualize, we consider only two features: petal length, and petal width and fit the model to this data.
Scenario Notes
The tutorial is the first of its kind explaining in a layman's term on how to use scikit-learn library and for a simple classification task.
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Main details to review
- The tutorial is the first of its kind explaining in a layman's term on how to use scikit-learn library and for a simple classification task.
- To make it possible to visualize, we consider only two features: petal length, and petal width and fit the model to this data.
- In this video, we will see one of the most popular examples of classification in
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