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Machine Learning - Supervised learning

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Maneesha Caldera

Present about supervised learning. Mainly discussing regression and classification. Further activities are discussing how to practically apply supervised learning.

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Supervised learning
Common Features • Data set is given • know what our correct output should look like • Known relationship (I/O)
Regression • Predict results for a continuous output • Continous function
Activity • Map input variables to some continuous function – Please use given the dataset • (/ML/Datasets/RegData.xls)
Classification • Predict results for a discrete output • Discrete categories
Activity • Map input variables to some discrete categories – Please use given the dataset • (/ML/Datasets/ClasificationData.xls)
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Machine Learning - Supervised learning