23 Nov excel work Homework 5 need to be worked. Provide me the excel file with calculation. Week5 load approve is the file need to add a new sheet and work.? Question. Using data in e
excel work
Homework 5 need to be worked. Provide me the excel file with calculation. Week5 load approve is the file need to add a new sheet and work.
Question. Using data in excel sheet “data” in the attached Excel file “Week5-Loan_Approval”. Banks have to assess risk before approving loans by looking at many factors to deciding whether or not the applicant’s profile is relevant for granting with loan.
Using Logistic Regression model, predict whether the candidate’s profile is relevant or not using key features like Gender, Married, Dependents, Education, Self_Employed, ApplicantIncome, CoapplicantIncome, LoanAmount, Loan_Amount_Term, Credit_History, and Property_Area.
Based on the features below, predict the applicant’s approval acceptance:
You can use Loan_Status as dependent variable and features as independent variables. Convert all textual categorical variables to numeric, and clean data if necessary.
Gender: Male
Married: Yes
Dependents: 2
Education: Graduate
Self_Employed: No
ApplicantIncome: 5000
CoapplicantIncome: 1000
LoanAmount: 800
Loan_Amount_Term: 240
Credit_History: 1
Property_Area: Urban
data
Loan_ID | Gender | Married | Dependents | Education | Self_Employed | ApplicantIncome | CoapplicantIncome | LoanAmount | Loan_Amount_Term | Credit_History | Property_Area | Loan_Status |
LP001002 | Male | No | 0 | Graduate | No | 5849 | 0 | 360 | 1 | Urban | Y | |
LP001003 | Male | Yes | 1 | Graduate | No | 4583 | 1508 | 128 | 360 | 1 | Rural | N |
LP001005 | Male | Yes | 0 | Graduate | Yes | 3000 | 0 | 66 | 360 | 1 | Urban | Y |
LP001006 | Male | Yes | 0 | Not Graduate | No | 2583 | 2358 | 120 | 360 | 1 | Urban | Y |
LP001008 | Male | No | 0 | Graduate | No | 6000 | 0 | 141 | 360 | 1 | Urban | Y |
LP001011 | Male | Yes | 2 | Graduate | Yes | 5417 | 4196 | 267 | 360 | 1 | Urban | Y |
LP001013 | Male | Yes | 0 | Not Graduate | No | 2333 | 1516 | 95 | 360 | 1 | Urban | Y |
LP001014 | Male | Yes | 3 | Graduate | No | 3036 | 2504 | 158 | 360 | 0 | Semiurban | N |
LP001018 | Male | Yes | 2 | Graduate | No | 4006 | 1526 | 168 | 360 | 1 | Urban | Y |
LP001020 | Male | Yes | 1 | Graduate | No | 12841 | 10968 | 349 | 360 | 1 | Semiurban | N |
LP001024 | Male | Yes | 2 | Graduate | No | 3200 | 700 | 70 | 360 | 1 | Urban | Y |
LP001027 | Male | Yes | 2 | Graduate | Yes | 2500 | 1840 | 109 | 360 | 1 | Urban | Y |
LP001028 | Male | Yes | 2 | Graduate | No | 3073 | 8106 | 200 | 360 | 1 | Urban | Y |
LP001029 | Male | No | 0 | Graduate | No | 1853 | 2840 | 114 | 360 | 1 | Rural | N |
LP001030 | Male | Yes | 2 | Graduate | No | 1299 | 1086 | 17 | 120 | 1 | Urban | Y |
LP001032 | Male | No | 0 | Graduate | No | 4950 | 0 | 125 | 360 | 1 | Urban | Y |
LP001034 | Male | No | 1 | Not Graduate | No | 3596 | 0 | 100 | 240 | Urban | Y | |
LP001036 | Female | No | 0 | Graduate | No | 3510 | 0 | 76 | 360 | 0 | Urban | N |
LP001038 | Male | Yes | 0 | Not Graduate | No | 4887 | 0 | 133 | 360 | 1 | Rural | N |
LP001041 | Male | Yes | 0 | Graduate | Yes | 2600 | 3500 | 115 | 1 | Urban | Y | |
LP001043 | Male | Yes | 0 | Not Graduate | No | 7660 | 0 | 104 | 360 | 0 | Urban | N |
LP001046 | Male | Yes | 1 | Graduate | No | 5955 | 5625 | 315 | 360 | 1 | Urban | Y |
LP001047 | Male | Yes | 0 | Not Graduate | No | 2600 | 1911 | 116 | 360 | 0 | Semiurban | N |
LP001052 | Male | Yes | 1 | Graduate | Yes | 3717 | 2925 | 151 | 360 | Semiurban | N | |
LP001066 | Male | Yes | 0 | Graduate | Yes | 9560 | 0 | 191 | 360 | 1 | Semiurban | Y |
LP001068 | Male | Yes | 0 | Graduate | No | 2799 | 2253 | 122 | 360 | 1 | Semiurban | Y |
LP001073 | Male | Yes | 2 | Not Graduate | No | 4226 | 1040 | 110 | 360 | 1 | Urban | Y |
LP001086 | Male | No | 0 | Not Graduate | No | 1442 | 0 | 35 | 360 | 1 | Urban | N |
LP001087 | Female | No | 2 | Graduate | Yes | 3750 | 2083 | 120 | 360 | 1 | Semiurban | Y |
LP001091 | Male | Yes | 1 | Graduate | Yes | 4166 | 3369 | 201 | 360 | Urban | N | |
LP001095 | Male | No | 0 | Graduate | No | 3167 | 0 | 74 | 360 | 1 | Urban | N |
LP001097 | Male | No | 1 | Graduate | Yes | 4692 | 0 | 106 | 360 | 1 | Rural | N |
LP001098 | Male | Yes | 0 | Graduate | No | 3500 | 1667 | 114 | 360 | 1 | Semiurban | Y |
LP001100 | Male | No | 3 | Graduate | No | 12500 | 3000 | 320 | 360 | 1 | Rural | N |
LP001106 | Male | Yes | 0 | Graduate | No | 2275 | 2067 | 360 | 1 | Urban | Y | |
LP001109 | Male | Yes | 0 | Graduate | No | 1828 | 1330 | 100 | 0 | Urban | N | |
LP001112 | Female | Yes | 0 | Graduate | No | 3667 | 1459 | 144 | 360 | 1 | Semiurban | Y |
LP001114 | Male | No | 0 | Graduate | No | 4166 | 7210 | 184 | 360 | 1 | Urban | Y |
LP001116 | Male | No | 0 | Not Graduate | No | 3748 | 1668 | 110 | 360 | 1 | Semiurban | Y |
LP001119 | Male | No | 0 | Graduate | No | 3600 | 0 | 80 | 360 | 1 | Urban | N |
LP001120 | Male | No | 0 | Graduate | No | 1800 | 1213 | 47 | 360 | 1 | Urban | Y |
LP001123 | Male | Yes | 0 | Graduate | No | 2400 | 0 | 75 | 360 | Urban | Y | |
LP001131 | Male | Yes | 0 | Graduate | No | 3941 | 2336 | 134 | 360 | 1 | Semiurban | Y |
LP001136 | Male | Yes | 0 | Not Graduate | Yes | 4695 | 0 | 96 | 1 | Urban | Y | |
LP001137 | Female | No | 0 | Graduate | No | 3410 | 0 | 88 | 1 | Urban | Y | |
LP001138 | Male | Yes | 1 | Graduate | No | 5649 | 0 | 44 | 360 | 1 | Urban | Y |
LP001144 | Male | Yes | 0 | Graduate | No | 5821 | 0 | 144 | 360 | 1 | Urban | Y |
LP001146 | Female | Yes | 0 | Graduate | No | 2645 | 3440 | 120 | 360 | 0 | Urban | N |
LP001151 | Female | No | 0 | Graduate | No | 4000 | 2275 | 144 | 360 | 1 | Semiurban | Y |
LP001155 | Female | Yes | 0 | Not Graduate | No | 1928 | 1644 | 100 | 360 | 1 | Semiurban | Y |
LP001157 | Female | No | 0 | Graduate | No | 3086 | 0 | 120 | 360 | 1 | Semiurban | Y |
LP001164 | Female | No | 0 | Graduate | No | 4230 | 0 | 112 | 360 | 1 | Semiurban | N |
LP001179 | Male | Yes | 2 | Graduate | No | 4616 | 0 | 134 | 360 | 1 | Urban | N |
LP001186 | Female | Yes | 1 | Graduate | Yes | 11500 | 0 | 286 | 360 | 0 | Urban | N |
LP001194 | Male | Yes | 2 | Graduate | No | 2708 | 1167 | 97 | 360 | 1 | Semiurban | Y |
LP001195 | Male | Yes | 0 | Graduate | No | 2132 | 1591 | 96 | 360 | 1 | Semiurban | Y |
LP001197 | Male | Yes | 0 | Graduate | No | 3366 | 2200 | 135 | 360 | 1 | Rural | N |
LP001198 | Male | Yes | 1 | Graduate | No | 8080 | 2250 | 180 | 360 |