Program 2 Matrix Multiplication This program multiplies two square matrices You can assume that
Function Name: savvyShopper() Parameters: fileName (str), shoppingMethod (str) Returns: lowestPrice (tuple) Description: Your friend wants to buy the cheapest costume but does not want to deal with shopping both online and in-person. Write a function that takes in the mode of desired shopping (Online or In-store) and returns a tuple of the cheapest costume available in that mode and its price. Assume there will not be two costumes with the same lowest price. If the mode of shopping or the file name is invalid, return ("", 0). >> savvyShopper("costumeStore1.txt", "Online") ('Willy Wonka', 19.99) >> savvyShopper("costumeStore1.txt", "In-store") ('Thanos', 15.0) Function Name savvyShopper Parameters fileName str shoppingMethod str Returns Original price was: $10.00.Current price is: $5.00.
Q2) Write the necessary Python code to read the dataset file given to you and perform the following tasks: 1. Detect and list missing data in the dataset. Then fill these missing values with the suitable values. 2. Detect the outliers in the dataset. Use a Boxplot for the graphical presentation and use the Percentile approach to eliminate the outliers. 3. For the cleaned dataset, provide the necessary statistical information. 4. Draw the correlation matrix. 5. Draw the density plots for the attributes. Q2 Write the necessary python code to read the dataset file given to you and perform the following Original price was: $10.00.Current price is: $5.00.
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Program 2 Matrix Multiplication This program multiplies two square matrices You can assume that

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Program 2 Matrix Multiplication This program multiplies two square matrices You can assume that
Program 2 Matrix Multiplication This program multiplies two square matrices You can assume that
$10.00 Original price was: $10.00.$5.00Current price is: $5.00.

Program #2: Matrix Multiplication This program multiplies two square matrices. You can assume that the size of each matrix is 4×4. You are to design the processor’s FSMD, Datapath and control unit to execute this algorithm. The pseudocode is given below: MatrixMultiplication(matrixA, matrixB): rowsA = number of rows in matrixA colsA = number of columns in matrixA colsB = number of columns in matrixB result = create a new matrix with dimensions rowsA x colsB for i from 0 to rowsA – 1: for j from 0 to colsB – 1: result[i][j] = 0 for k from 0 to colsA – 1: result[i][j] += matrixA[i][k] * matrixB[k][j] end end end return result

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