8. Suppose we have an array declared in an Angular component as follows:9.status: string] = ["pending", "approved", "rejected"];%3DUsing the *ngFor attribute, how would we code a set of paragraphs in the template (using tags) of the form:Status 1 is pendingStatus 2 is approvedStatus 3 is rejected

Here, I have to provide solution to the above question.

8. Suppose we have an array declared in an Angular component as follows: status: string] = ["pending", "approved", "rejected"]; Using the *ngFor attribute, how would we code a set of paragraphs in the template (using tags) of the form: Status 1 is pending Status 2 is approved Status 3 is rejected

8. Suppose we have an array declared in an Angular component as follows: status: string] = ["pending", "approved", "rejected"]; Using the *ngFor attribute, how would we code a set of paragraphs in the template (using tags) of the form: Status 1 is pending Status 2 is approved Status 3 is rejected

Database System Concepts

7th Edition

ISBN:9780078022159

Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Chapter1: Introduction

Section: Chapter Questions

Problem 1PE

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Consider a scenario of Contacts Database, in which all information of user contacts will be stored. In the given scenario you have to implement your database of contacts using the Generic Arraylist you have created in Task 1. Steps to Follow:Step 1:In first step you have to create Contact class with the following attributes;● First Name● Last Name● Phone Number● Email AddressAdd mutator and accessor methods for all given attributesStep 2:You have to create a menu consisting of the following functionalities;1. Add a new contact2. Display all contacts3. Display specific contact 4. Delete a contact5. Quit
Challenge: Improve Your Spam Classifier [Ungraded] You can improve your classifier in two ways: Feature Extraction: Modify the function extract_features_challenge(). This function takes in a email (list of lines in an email) and a feature dimension B, and should output a feature vector of dimension B. The autograder will pass in both arguments. We provide naive feature extraction from above as an example. Model Training: Modify the function train_spam_filter_challenge(). This function takes in training data xTr, yTr and should output a weight vector w and bias term b for classification. The predictions will be calculated exactly the same way as we have demonstrated in the previous cell. We provide an initial implementation using gradient descent and logistic regression. Your model will be trained on the same training set above (loaded by load_spam_data()), but we will test its accuracy on a testing dataset of emails (hidden from you) feature_dimension = 512def…
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You are provided a list of projects and a list of dependencies (a list of pairings of projects in which the second project is reliant on the first). Before a project can be constructed, all of its dependencies must be built. Find a construction order that will allow the projects to be completed. Return an error if there is no proper construction order.EXAMPLEInput:projects: a, b, c, d, e, fdependencies: (a, d), (f, b), (b, d), (f, a), (d, c)Output: f, e, a, b, d, c
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1) Write for blueJ, the definition of a field named tutor that can hold a reference to an object of type Instructor. Include all four elements: visibility, data type, variable name and semicolon. 2)As for the previous exercise, write the definition of a field named soundCard that can hold a reference to an object of type Audio. Include all four elements: visibility, data type, variable name and semicolon.
Suppose you were asked to define a class MetaDisplay in Java, containing amethod static void printTable(String r); the method takes a relation name r asinput, executes the query “select * from r”, and prints the result out in tabularformat, with the attribute names displayed in the header of the table. What do you need to know about relation r to be able to print the result in the specified tabular format?
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Q: Consider following dataset. You have to apply Naïve Bayes classifier with complete steps to assign the class label of the given instance. Color Size Action Age Class label yellow small stretch adult true purple small stretch adult true yellow small stretch adult true purple small stretch child false yellow small stretch adult false yellow small dip adult false purple small dip child false yellow small dip child false yellow large stretch adult true yellow large stretch adult true yellow large stretch child false yellow large dip adult false yellow large dip child false purple small stretch adult true purple small dip adult false X = < Color = yellow, Size = small, Action = stretch, Age = child > ---- Class Label? Hint: You have to perform steps for two class labels (True and False)…
You are given a list of projects and a list of dependencies (which is a list of pairs ofprojects, where the second project is dependent on the first project). All of a project's dependencies must be built before the project is. Find a build order that will allow the projects to be built. If there is no valid build order, return an error.EXAMPLEInput:projects: a, b, c, d, e, fdependencies: (a, d), (f, b), (b, d), (f, a), (d, c)Output: f, e, a, b, d, c
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