Activity-1: Predicting Pet Preferences
Objective: To help students understand the usage of data science, machine learning and artificial intelligence by analyzing and predicting pet preferences in their daily lives.
Make the groups of students, to collect data from younger kids on their preferences about pet. The students will collect the age and gender of the younger kids and write down their preferred pet, which they want to have.
Ask the students to calculate the mean median and mode of the collected data after cleaning data and removing and errors or duplication from their collected data.
Create a bar graph or pie graph to display the results and ask them to apply ML and AI on it.
Guide them to use a simple algorithm like decision tree to predict the pet preference for new data. For example, take the age and gender of a new kid which was not part of the survey, apply the algorithm and predict that which pet would be preferred by this kid. Compare the results with the actual choice of the kid.
To apply artificial intelligence concepts, ask them to imagine virtual pet assistant, that uses AI to suggest a pet based on the kids' preferences.
Outcome: This activity will help students with the implementation of machine learning, data science and artificial intelligence in daily life.