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

1. Supervised learning

2. Common Features
• Data set is given
• know what our correct output should look
like
• Known relationship (I/O)

3. Regression
• Predict results for a continuous output
• Continous function

4. Activity
• Map input variables to some continuous
function
– Please use given the dataset
• (/ML/Datasets/RegData.xls)

5. Classification
• Predict results for a discrete output
• Discrete categories

6. Activity
• Map input variables to some discrete
categories
– Please use given the dataset
• (/ML/Datasets/ClasificationData.xls)

9. futuretekez@gmail.com
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10. futuretekez@gmail.com
Keep In Touch
+94765632363
@FutureteKez
future tekiz
@10Giants