Loan_Approval_Predictor

This is a Data Science project predicting the possibility of loan approval using the the inputs:

	Gender               
	Married               
	Dependents           
	Education             
	Self_Employed        
	ApplicantIncome       
	CoapplicantIncome     
	LoanAmount           
	Loan_Amount_Term     
	Credit_History       
	Property_Area  

Data analysis and Cleaning is done to the Dataset to fill in missing values

Conversion of categorical variable to numeric using Label Encoder for maximum optimization of all the data in the dataset

Classification Algorithm like Decision Tree and Logistic Regrsssion is used to find the output of which Logistic Regression is the most optimum which gives the accuracy of approximately 84%