I. prepare a breast cancer data set that is provided by python datasets package. you may split this dataset into training set and testing set according to your own splitting ratio. the following picture is a code example how to load the cancer dataset into your python file. you can print(data. data) and print(data. target) to preview the features and labels you can also print(data) to preview the whole dataset. ii. use the gaussiannb to train naïve bayes classifier with the training set and then test this model with your testing set. iii. use classification_report library to draw a short report in python

Working on this program in python 3.7: a year in the modern gregorian calendar consists of 365 days. in reality, the earth takes longer to rotate around the sun. to account for the difference in time, every 4 years, a leap year takes place. a leap year is when a year has 366 days: an extra day, february 29th. the requirements for a given year to be a leap year are: 1) the year must be divisible by 42) if the year is a century year (1700, 1800, the year must be evenly divisible by 400some example leap years are 1600, 1712, and 2016.write a program that takes in a year and determines whether that year is a leap year. ex: if the input is 1712, the output is: 1712 is a leap year. ex: if the input is 1913, the output is: 1913 is not a leap year. your program must define and call the function isleapyear(useryear). the function should return true if the input year is a leap year and false otherwise.

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Aproject involves many computing systems working together on disjointed task towards a single goal what form of computing would the project be using