Refer to the sets below:- A = {Prasanna, Anna, Joanne, Bala, Mohamed, Chuang, Loges} B = {Linda, Anna, Jessy, Emeka, Francisso, Prasanna} C = {Hameed, Anna, Prasanna} D = {Hameed} Find the output for the following questions which is based on the set above, (a) Intersection between A, B and C. (b) Difference between B and C. (c) Union of C and D. (d) Cartesian product of C and D.
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- Q A-T SUBSTR('TUTORIALS B - NULL C-0 What D-N is returned POINT', -1, 1)? byComplete the assignment. Compute allDuring tough times like these, investment becomes more uncertain with more dangers. To solve it, we might try to train a model to decide when to buy or sell. Therefore, to provide it with correct data, we plan to design an algorithm that answers: what is the perfect moment to buy and when to sell to maximize your profit? Assume you must buy Input: changes : array listing changes in the prices, where indices represent days; it has at least two values Output: i : index of the change before which we buy j: index of the change before which we sell maxProfit : the profit of this interval Example: Assume the below table contains the prices of a particular stock over days prices changes Day Value 50 1 63 13 70 7 3 40 -30 55 15 65 10 6 60 -5 7 72 12 8 79 7 9 68 -11 10 74 6 Therefore, the output of maxProfit([13,7,-30,15,10, -5,12,7, -11,6]) should be (3, 7, 39) . This is because our maximum profit would be 39 when we buy the stock at day 4, index of 3, and sell after day 8, index of 7. Then,…
- Some rows of the STUGRADE table of a school are shown below: STU_CODE CLS_CODE GRADE YEAR 291 111 3.1 2010 938 101B 2.3 2011 931 M101 3.3 2040 291 M101 3.4 2018 190 111 2.0 2021 931 321 3.9 2003 Suppose that STU_CODE is the student code (foreign key) and CLS_CODE is the class code (foreign key). Which of the following computes the average for each year of the student with code 931? a. SELECT AVG(GRADE) FROM STUGRADE WHERE STU_CODE = 931 GROUP BY YEAR b. SELECT AVG(GRADE) FROM STUGRADE WHERE STU_CODE = 931. c. SELECT AVG(GRADE) FROM STUGRADE GROUP BY STU_CODE = 931 d. SELECT AVG(GRADE) FROM STUGRADE WHERE STU_CODE = 931 GROUP BY AVG(GRADE)2. Set Collection Given the following sets of students find the following as given. math = {"Juan","Carlo","Cynthia","Marc","Lucio","Carla"} english = {"Carlo","Marc","Carla","Tina"} 1. How many enrolled in: a. math b. english c. both subjects 2. List all the students 3. Who are the students enrolled only in math but not in english 4. Who are the students enrolled only in english and only in math but not both subjects fun main() { val math = setOf ("Juan", "Carlo", "Cynthia", "Marc", "Lucio", "Carla") val english = setof("Carlo", "Marc", "Carla", "Tina") println("There are ${//insert code} students enrolled in math") println("There are ${//insert code} students enrolled in english") println("There are ${(//insert code} students enrolled in both subject") println("List of all students\n${//insert code}") println("List of math students only\n${//insert code}") println("List of students not in both subjects\n${//insert code}") } Program Output There are 6 students enrolled in math There…Three datasets have been used to make the boxplots and histograms. Match each boxplot to the appropriate histogram. A A B n 1 B [Choose] [Choose] [Choose ] 614 Th
- All do. Else report.Complete the docstring below using the helper function and information attached: def get_last_syllable(word_phonemes: PHONEMES) -> PHONEMES: """Return the last syllable from word_phonemes. The last syllable in word_phonemes is formed from the last vowel phoneme and any subsequent consonant phoneme(s) in word_phonemes, in the same order as they appear in word_phonemes. >>> get_last_syllable(('AE1', 'B', 'S', 'IH0', 'N', 'TH')) ('IH0', 'N', 'TH') >>> get_last_syllable(('IH0', 'N')) ('IH0', 'N') >>> get_last_syllable(('B', 'S')) () """Q5) Run the code below to check on the model behavior for different polynomials (2,3, 5,10,20). Comment on the generated figure. In [26]: # Hyperparam initialization eta = 0.25 epochs = 500000 # This will take a while but you can set it to 10000. Poly_degree_values = [2, 3, 5, 10, 20] # Initializing plot plt.title( "Regression Lines for Different polynomials") plt.scatter(data.GranulesDiameter, data.Beachslope, label='Traning Data') # iterating over different alpha values (This is going to take a while) for i in Poly_degree_values: polynomial x = GeneratePolynomialFeatures (X, i) thetaInit - np.zeros( (polynomial_x.shape[1],1)) theta, losses = gradientDescent (polynomial_x, Y, thetaInit, eta, epochs) poly = PolynomialFeatures (i) plot SimpleNonlinearRegression line (theta, X, poly) plt.legend(Poly_degree_values) plt.show() Regression Lines for Different polynomials 2 25 10 20 20 15 10 0.2 0.3 0.4 0.5 0.6 0.7 0.8 In [271: # Write your response here
- Solve the following questions: Q1. Using the colon operator and the transpose operator, create a column vector that has the values -1 to 1 in steps of 0.2.Kevin plans to use a Boolean operator since he wants to learn about two distinct topics. Kevin has to use the right Boolean operator while doing a search if he wants accurate results.Write a program that asks the user toenter two non-empty sets and display their intersection and union. Design the following function in the program: set_intersection–This function gets the intersection of two given sets. set_union–This function gets the union of two given sets.