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.