Abstract:

With the enhancement in the banking sector lots of people are applying for bank loans but the bank has its limited assets which it has to grant to limited people only, so finding out to whom the loan can be granted which will be a safer option for the bank is a typical process. So in this paper we try to reduce this risk factor behind selecting the safe person so as to save lots of bank efforts and assets. This is done by mining the Big Data of the previous records of the people to whom the loan was granted before and on the basis of these records/experiences the machine was trained using the machine learning model which give the most accurate result. The main objective of this paper is to predict whether assigning the loan to particular person will be safe or not. This paper is divided into four sections (i)Data Collection (ii) Comparison of machine learning models on collected data (iii) Training of system on most promising model (iv) Testing.

Existing System:

Machine Learning implementation is a very complex part in terms of Data analytics. Working on the data which deals with prediction and making the code to predict the future of out comes from the customer is challenging part.

Disadvantages of Existing System:

• Complexity in analysing the data.
• Prediction is challenging task working in the model
• Coding is complex maintaining multiple methods.
• Libraries support was not that much familiar.

Proposed System:

Python has a is a good area for data analytical which helps us in analysing the data with better models in data science. The libraries in python makes the predication for loan data and results with multiple terms considering all properties of the customer in terms of predicting.

Advantages:

• Libraries helps to analyse the data.
• Statistical and prediction is very easy comparing to existing technologies.
• Results will be accurate compared to other methodologies.

SYSTEM REQUIREMENTS
SOFTWARE REQUIREMENTS:
• Programming Language : Python
• Font End Technologies : TKInter/Web(HTML,CSS,JS)
• IDE : Jupyter/Spyder/VS Code
• Operating System : Windows 08/10

HARDWARE REQUIREMENTS:

 Processor : Core I3
 RAM Capacity : 2 GB
 Hard Disk : 250 GB
 Monitor : 15″ Color
 Mouse : 2 or 3 Button Mouse
 Key Board : Windows 08/10