Prediction using Supervised ML
● Predict the percentage of an student based on the no. of study hours.
● This is a simple linear regression task as it involves just 2 variables.
● You can use R, Python, SAS Enterprise Miner or any other tool
● Data can be found at http://bit.ly/w-data
● What will be predicted score if a student studies for 9.25 hrs/ day?
Prediction using Unsupervised ML
From the given ‘Iris’ dataset, predict the optimum number of clusters and represent it visually.
● Use R or Python or perform this task
● Dataset : https://bit.ly/3kXTdox
Prediction using Decision Tree Algorithm
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 : https://bit.ly/3kXTdox