Overview
The Iris Dataset is a well-known dataset in the field of machine learning, primarily used for classification tasks. It contains measurements of iris flowers from three different species, making it an excellent resource for beginners to learn about data analysis and machine learning techniques. The d...
Key Terms
Example: Classifying emails as spam or not spam.
Example: Sepal length in the Iris Dataset.
Example: Using k-NN to classify a new iris flower based on its features.
Example: An accuracy of 90% means 90 out of 100 predictions were correct.
Example: A confusion matrix showing true positives, false positives, true negatives, and false negatives.
Example: A scatter plot of petal length vs. petal width.
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intermediateKey Concepts
classificationmachine learningdata visualizationstatistics