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- Answer asap else downvote/dislike and bad review gurranteedHorse with columns: ID - primary key RegisteredName Breed Height BirthDate Student with columns: ID - primary key FirstName LastName Street City State Zip Phone EmailAddress LessonSchedule with columns: HorseID - partial primary key, foreign key references Horse(ID) StudentID - foreign key references Student(ID) LessonDateTime - partial primary key Write a SELECT statement to create a lesson sstudent takes ID ID course_id sec_id semester year grade пате dept_name tot_cred section course department course_id sec_id semester year building room_no time_slot_id course_id title dept_name credits advisor dept_name building budget s_id i id time_slot time_slot_id day start_time end_time prereq instructor classroom COurse_id prereg_id ID building пате dept_name salary room_no сараcity teaches ID course_id sec_id semester year Consider the relation that results from the expression: course natural join department Which of the following functional dependencies hold for this relation? (Mark all that apply) O {title, credits} -> building O dept_name -> budget O course_id -> {budget} O {building, budget} -> dept_name O title -> credits O {course_id, title} -> credits
- Table_rating table menu table_menu_type table_user menu_type_ID rating ID menu ID user_ID placed • type_name • description # menu_ID • remarks • data_recorded: date # customer ID • menu_name # price #menu_type ID • menu image ingredients #menu_status • full_name • contact • email address * username • password assigned represent table_payment payment_ID 4 order ID C# amount paid_by -payment_date # processed_by | assigned to table_customer customer_ID • Customer_first_name • customer_last_name • customer_middle_name • customer_email • customer_phone_number • customer_landline • profile_image • customer_usemame • customer password table_order_details I Jorder_details_ID include I l order_ID # menu_ID # amount # no of serving # total_amount table_site_info # account_status site_info_ID L • site_name • description • contact_info * address • last_update Huser_ID table_order part of placed by # customer_ID -order_date #total_amount Worder_status #processed_by pays orders Customers PK…questionnnPlease help last question to finish my assignment
- 111 Correct and detailed answer will be Upvoted else downvoted. Thank you!SUPPLIER PRODUCT ProductCode ProductnName unitPrice SupCode supCode (Number, 3) SupName (text, 20) АВC LLC (Number, 10) [Char(10)] (>0) 1111111 Calculator 10 111 111 2222222 Notebook 2.5 777 222 ХҮX LLC 3333333 Book-AI 20 222 3333 PQR LLC 4444444 Pen -2.0 222 222 AXL LLC 5555555 Pencil .500 111 Eraser .500 222https://www.bartleby.com/questions-and-answers/question-no.-4-4-consider-following-tables.-student-regno-sname-scity-scgpa-sage-course-ccode-cname-/fe8fab46-8c8a-4438-be50-f6d170f07bae
- Please complete reading page 1 before going to page 2. In task 2, you will be given a text that describes an Airline company (page 2). Each studentshould complete the steps 1 and 2 below to fully solve the task. Step 1: Represent the company description as an ER-diagram, including all relevantconstraints as the following steps: - Lucidchart Blank diagram Edit Select View Insert Arrange Help Shapes Each student should download Lucidchart app using MS-Teams. A video about downloading Lucidchart has been added to e-learning. Every student should use Lucidchart draw the ERD The student should take a screenshot of his solution showing his/her user ID as the example below (in Red): For each entity name in the ERD the student should concatenate his University ID as the example below (in Red) Standard ΤΠ DOO Liberation Sans Y <-10 pt - BIVAT BAZ2px None None MQ Flowchart ODDE Shapes 00 << TASK 2: Draw ERD and Map to Relations TOBOO 40 X × BODOL 0 ( What's NewSaved Start a free trial to access…Assignments provided in the picture. ThanksText categorization: given the following document-term matrix: (the value in the matrix represents the frequency of a specific term in that document) T1 T2 T3 T4 T5 T6 T7 T8 doc1 2 0 4 3 0 1 0 2 doc2 0 2 4 0 2 3 0 0 doc3 4 0 1 3 0 1 0 1 doc4 0 1 0 2 0 0 1 0 doc5 0 0 2 0 0 4 0 0 doc6 1 1 0 2 0 1 1 3 doc7 2 1 3 4 0 2 0 2 Assume that documents have been manually assigned to two pre-specified categories as follows: Class_1 = {Doc1, Doc2, Doc5}, Class_2 = {Doc3, Doc4, Doc6, Doc7} (a) Use Naïve Bayes Multinomial Model and Naïve Bayes Bernoulli Model to respectively calculate how Doc 8 and Doc 9 given above will be classified. Please use add-one smoothing to process the conditional probabilities in the calculation T1 T2 T3 T4 T5 T6 T7 T8 doc8 3 1 0 4 1 0 2 1 doc9 0 0 3 0 1 5 0 1 (b) Redo the classification, use the K-Nearest-Neighbor approach for document categorization with K = 3 to classify the following two new documents. Show calculation details. Note: no need to normalized the vectors,…