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Problem 1 Supervised Machine Learning :

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.

Below is the predicted score if a student study for 9.25 hrs in a day.

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Problem 2 Unsupervised Machine Learning :

From the ‘Iris’ dataset, predict the optimum number of clusters and represent it visually.

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Problem 3 Decision Tree Algorithm :

On ‘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.

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