Use appropriate proximity measure to find the matching pairs llowing are data of young people found in a matrimonial site. Use appropriate proximity measures to find the matching pairsectGenderFoodCasteEducationHobbyJobAgeharMVegMUGCricketNo30NonVegMPhDTennisYes28nankatNonVegHPGFootballYes29NonVegMPGTennisYes27dmaVegHPGCarromNo28FrvathyVegMUGChessYes26

Answered: Image /qna-images/answer/a3e5ee4e-fcdb-48ed-8c0b-bc1995fa8b0a.jpg

llowing are data of young people found in a matrimonial site. Use appropriate proximity measures to find the matching pain ect Gender Food Caste Education Hobby Job Age Thar Veg UG Cricket No 30 na M NonVeg M PhD Tennis Yes 28 nkat M NonVeg PG Football Yes 29 NonVeg M PG Tennis Yes 27 dma F Veg H. PG Carrom No 28 rvathy Veg M UG Chess Yes 26 F

llowing are data of young people found in a matrimonial site. Use appropriate proximity measures to find the matching pain ect Gender Food Caste Education Hobby Job Age Thar Veg UG Cricket No 30 na M NonVeg M PhD Tennis Yes 28 nkat M NonVeg PG Football Yes 29 NonVeg M PG Tennis Yes 27 dma F Veg H. PG Carrom No 28 rvathy Veg M UG Chess Yes 26 F

Np Ms Office 365/Excel 2016 I Ntermed

1st Edition

ISBN:9781337508841

Author:Carey

Publisher:Carey

Chapter5: Working With Excel Tables, Pivottables, And Pivotcharts

Section: Chapter Questions

Problem 3.11CP

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Step 1 Build a train/test split using Amazon data. Dataset name is amzn. Training Data starts in 2016. Testing Data is last 10 observations in dataset. Both should be pandas series type indexed by date. The last date in train should be '2017-12-14' Train = ?? Test = ?? Step 2 Adjust the ARIMA instance below to build an autoregression model using your training data from Step 1. This model should work on the first difference of the original closing price, and use one prior term or an order 1 AR model. from statsmodels.tsa.arima_model import ARIMA ar = ARIMA(train, order = (0, 0, 0)) model = ?? Python Programming
1, what is the Average number of days it takes for a client to receive a visit (tbl_ClientVisits.clientVisit_id), from the time they were admitted for service as part of a treatment episode (tbl.ClientEpisodes>auto_Admission_date) consider the tables join is done column needed - ClientVisit_id - Episode_id. - auto_admission_date - auto_discharge date tbl_clientVisit represent all the visits the company client make to the business. each visit is associated with one, and only one clientEpisode, however, each episode may consists of multiple visits.
In Database set the shadow size of a div having 20 px shadow and this shadow should spread upto 30 px .The color of the shadow will be green. This div should have your own name and age as heading (h3) and this heading should have 5 px shadow and it will be in white color.
The Driver Relationship team wants to analyze drivers and their car usages in InstantRide for the month October. Thus, they want to focus on each driver and respective car allocation occurred. In more detail, the team requires the DRIVER_ID and the CAR_ID with their usage counts as the TOTAL column for the travels occurred in the month of October. Since the team wants to also learn the total number of the travels by the drivers you need to use GROUP BY ROLLUP functionality.
Correlations are distorted if the data is standardized. True False
Using any dataset apply Apriori Algorithm and Anomalies detection methods to the dataset. Source code needed.
For ecoli dataset correctly set train and test data. You should randomly divide the dataset into a training dataset, validation set and an independent test dataset where the training dataset will contain 80% of the samples, the validation set contains 10% of samples, and the test dataset will contain 10% samples, respectively.
The method for automatic scaling must be specified.
Generate the candidate item set and frequent item set by taking any data set, follow the given conditionas database size |D|= 4 and minimum support = 2
If in the following dataframe, "target' is our dependent variable; can we perform the Simple linear regression assuming the other four columns as independent variables? sepal_length sepal_width petal_length petal_width target 5.1 3.5 1.4 02 Iris-setosa 4.9 3.0 02 Iris-setosa 1.4 2 4.7 3.2 1.3 02 Iris-setosa 46 3.1 1.5 02 Irs-setosa 4 50 3.8 1.4 02 Iris-setosa 54 3.9 1.7 04 Irs-setosa 03 Iris-setosa 02 Iris-setosa 46 3.4 1.4 50 3.4 1.5 44 29 1.4 02 Iris-setosa 4.9 3.1 1.5 0.1 Iris-setosa O a. Yes O b. Cannot say O . Cannot work for four input/independent variables O d. No as the 'target' has non numeric values
Implement the following ER model and sample data using Oracle SQL Developer and your CDM Oracle database account. You will submit a SQL script file and its entire outputs. The table name should be STUDENTS (plural). Each StudentID should be a five-digit number. LastName and FirstName must be entered. 12341, Doe, Jane 12342, [last name of your choice], [first name of your choice] 12343, [last name of your choice], [first name of your choice] Enrollment The table name should be ENROLLMENTS (plural). Quarters should be something like 2021Fall, 2022Winter, 2022Spring, 2022Summer1, 2022Summer2, 2022Summer10, and so forth. Grades in future quarters are entered as null. 2021Fall, 12341, IS411, A 2022Winter, 12342, IS421, null 2022Summer10, 12343, [course number of your choice], null Course The table name should be COURSES (plural). CourseNumbers should be strings of up to seven characters (e.g., IS411, DSC411, CSEC440). The course and instructor names should be strings of characters.…