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TSFInternship

Task 2 - To Explore Supervised Machine Learning

In this regression task we will predict the percentage of marks that a student is expected to score based upon the number of hours they studied. This is a simple linear regression task as it involves just two variables.

Problem Statement - What will be predicted score if a student study for 9.25 hrs in a day?

Task 4 - For the given ‘Iris’ dataset, create the Decision Tree classifier and visualize it graphically. The purpose is if we feed any new data to this classifier, it would be able to predict the right class accordingly.

Dataset for task 2 - http://bit.ly/w-data Dataset for task 5 - https://drive.google.com/file/d/1lV7is1B566UQPYzzY8R2ZmOritTW299S/

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