Task 1 (50 points): (Intro to Abstracts Science: Survey Acknowledgment Statistics) Twenty acceptance were asked to amount on a calibration of 1 to 5 the affection of the aliment in the apprentice cafeteria, with 1 actuality “awful” and 5 actuality “excellent”. Place the 20 responses in a list. 1, 2, 5, 4, 3, 5, 2, 1, 3, 3, 1, 4, 3, 3, 3, 2, 3, 3, 2, 5 Write a affairs that does the following: (a) Determine and affectation the abundance of anniversary rating. (b) Use the congenital functions, statistics bore functions and NumPy or Panda functions covered in the advance abstracts to affectation the afterward acknowledgment statistics: minimum, maximum, range, mean, median, about-face and accepted deviation. (c) Affectation a bar blueprint assuming the acknowledgment frequencies and their percentages of the absolute responses. Grading Rubric – 10 credibility for defining functions. – 15 credibility for finishing Task1(a)-(c). – 5 credibility for adapted comments. – 10 credibility for a runnable python affairs with actual abstracts visualization. – 10 credibility for screenshots of the program. Task 2 (50 points): (Classification with k-Nearest Neighbors and the Digits Dataset) Read the book “09-02-MachineLearning.pdf” and the python affairs “CaseStudy1.py” to apprentice the algorithm of k-Nearest Neighbors with the Digits dataset for acquainted handwritten digits. Re-write the python affairs by accomplishing the afterward subtasks: (a) Write cipher to affectation the two-dimensional arrangement apery the sample angel at basis 24 and numeric amount of the chiffre the angel represents. (b) Write cipher to affectation the angel for the sample angel at basis 24 of the Digits dataset. (c) For the Digits dataset, what numbers of samples would the afterward account assets for training and testing purposes? X train, X test, y train, y analysis = 1 alternation analysis split(digits.data, digits.target, accidental state=11, analysis size=0.60) 2 (d) Write cipher to get and affectation these numbers. (e) Rewrite the account apperception in atom  application a for loop. Hint: actualize an abandoned account and again use the congenital action “append”. Grading Rubric – 15 credibility for finishing Task2(a)-(e). – 5 credibility for adapted comments. – 20 credibility for a runnable rewritten python affairs – 10 credibility for screenshots of the program.
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