• DUE DATE: Week 15 Read the material provided in the lectures handout and lab handout then carry out the following tasks.
• Task1: Use Python to create a table with the average, median, min, max, and standard deviation for each attribute in the dataset
• Task2: Use Python to plot a histogram for each attribute in the dataset.
• Task3: Compute the correlation table for the quantitative attributes.
• Task4: Build a decision tree to the above dataset using all the relevant predictors. Find the model by using the following method: • An entropy measure ( pen and paper) • Python code.
• Task5: Use the created Mode in Task 4 to Predict the class of the following new example: age_=30, income=medium, student=yes, credit-rating=fair. Each small group of students will prepare a report which provides solutions to the above tasks while the main outline of the reports is. 1.0 Introduction Create the “Introduction” section of the project plan including; 1.1 project name, 1.2 reference materials, 1.3 lists of definitions and acronyms (if appropriate) 2.0 Tasks Solution with their interpretation. 3.0 Conclusion
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Given the training data in the below table (Buy Computer data) RID age income student 1 2 3 4 5 6 7 8 9 10 11 12 13 34 14 40 >40 31 ... 40