loan-prediction
data cleaning and checking the missing vlaues
now lets the drop all missing values remaining
Exploratory Data Analysis.
compparism between parameter in getting the Loan
lets the replace the Variable value to numerical form and display the value counts
the data in numerical form avoid disturbances in building the model.
from the above figure, we can see that Credit History (Dependent Variables) has the maximum correlation with
loan Status (Dependent Variable). which denote that the loan_satus is heavily dependent on the credit history
logistic regression is supervised leaning classification algorithm ussed to predict the probability of the target variable
Mathematicaly a logistic regression model predict p(y=1) as a function of x. it is the one of simplest ML Algorithm that
can be used various classification problem such as a spam detection,Diabetes Prediction, Cancer Dection, Loan Prediction etc.
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