Search & Filtering
1. Create a library of books in Python, with the following attributes.
(i) Title of book
(ii) Author of book
(iii) ISBN (International Standard Book Number)
(iv) Year of Publication.
(v) Book Classification (e.g. Fiction, Science, Art)
Required Object Class and Driver Class , Write a Java program to obtain transpose of a 4 x 4 matrix. The Transpose of the matrix is obtained by exchanging the elements of each row. With the elements of the corresponding column.
write a programme that represent the object computer which has features such as Memory, storage, speed and brand. suggest at least one method in addition to to the constructor
Linear Regression Assignment
1. Load the dataset using pandas
2. Extract data fromYearsExperience column is a variable named X
3. Extract data from salary column is a variable named Y
4. Divide the dataset into two parts for training and testing in 66% and 33% proportion
5. Create and train LinearRegression Model on training set
6. Make predictions based on the testing set using the trained model
7. Check the performance by calculating the r2 score of the mode
Naïve-Bayes Assignment
1. Load the dataset using pandas
2. Extract data fromOutcome column is a variable named Y
3. Extract data from every column except Outcome column in a variable named X
4. Divide the dataset into two parts for training and testing in 70% and 30% proportion
5. Create and train Naïve Bayes Model on training set
6. Make predictions based on the testing set using the trained model
7. Check the performance by calculating the confusion matrix and accuracy score of the model
Decision Tree Assignment
1. Load the dataset using pandas
2. Extract data fromOutcome column is a variable named Y
3. Extract data from every column except Outcome column in a variable named X
4. Divide the dataset into two parts for training and testing in 70% and 30% proportion
5. Create and train Decision Tree Model on training set
6. Make predictions based on the testing set using the trained model
7. Check the performance by calculating the confusion matrix and accuracy score of the model
1. Load the dataset using pandas
2. Extract data fromYearsExperience column is a variable named X
3. Extract data from salary column is a variable named Y
4. Divide the dataset into two parts for training and testing in 66% and 33% proportion
5. Create and train LinearRegression Model on training set
6. Make predictions based on the testing set using the trained model
7. Check the performance by calculating the r2 score of the model
Write a program that uses a structure to store the following data about a customer account:
· Name
· Address
· City
· Telephone Number
· Account Balance
With a function of withdrawMoney( float amountwithdraw) and depositMoney(float amountdeposit).
Implement a structure of car having car model, plate number, location, isParked (boolean type).
Car can move and park.
Move(): This function may update the location of car as it is moved.
Park(): This function added car details in the system and update is parked status.
Your program will also tell the parking managemt about the status of parking using isParked().
IsParked() : This function can find a car is it parked on not?
Create objec-oriented java program that will ask the user for 2 names ( boy and girl).
1. Two (2) classes -MyMainClass and Other Class
2. One (1) Constructor - set the name of the girl and boy (for object)
3. Two (2) accessors
getBoyNumLetters () & getGirlNameLetters (return numbers of letters)
4. One (1) mutator - check (to check who has the higher number of letters)
Sample output:
Enter the name of the girl: Claire
Enter the name of a boy: Christian
Claire has 6 letters of her name.
Christian has 9 letters in his name
The boy's name has more letters than the girls
