Loan Prediction system is a system which provides you a interface for loan approval to the applicants application of loan. Applicants provides the system about their personal information and according to their information system gives his status of availability of loan.
6 Tips for Interpretable Topic Models _ by Nicha Ruchirawat _ Towards Data Sc...
Loan prediction
1. DEPARTMENT OF COMPUTER ENGINEERING
S.S.V.P.S.’s B.S. DEORE COLLEGE OF ENGINEERING, DHULE
2017-2018
2. Introduction
Objectives
Data Mining
Decision Tree Induction
Data Mining In Banking
Methodology
Expected Results
Conclusion
Bibliography
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3. ◦ Competition in Banking
◦ Struggles of Various Banks
◦ Credit Risk
◦ Loan Prediction
◦ Data Mining Techniques
◦ Using in Banking Sector
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4. Mainly Two Objectives
Identification of Relevant Attributes
Determining the Best Model
Decision Tree Induction Algorithm
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5. What is Data Mining?
Different Data Mining Techniques
1. Classification
2. Clustering
3. Association Rule Mining
4. Regression ,etc.
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6. Fig. Steps of Knowledge Extraction
Knowledge Extraction
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8. Tremendous Growth In Banking Industry
Adapting Data Mining Techniques
Helps to Find Credible Customers
Preventing Frauds
Certain Areas That Effectively Use Data Mining
1. Marketing
2. Risk Management
3. Customer Relationship Management
Data Mining In Banking
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15. A system called loan credibility prediction system that helps the
organization in making right decision to approve or reject the
loan request of the customers.
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16. [1] Sivasree M. S. ,P. G. Scholar, Rekha Sunny T. “Loan Credibility Prediction
System Based on Decision Tree Algorithm” , IRJET Vol. 4 Issue
09.September 2015.
[2] Dileep B. Desai, Dr. R.V.Kulkarni “A Review: Application of Data Mining
Tools in CRM for Selected Banks”, (IJCSIT) International Journal of
Computer Science and Information Technologies, Vol. 4 (2), 2013, 199 –
201.
[3] Dr. Madan Lal Bhasin, “Data Mining: A Competitive Tool in the Banking
and Retail Industries”, The Chartered Accountant October 2006
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17. Presented By
Swapnil Jawahar Patil
Bhushan Sanjay Patil
Kalyani Ramkrishna Deore
Mayuri Bhalchandra Talware
Akshay Bandu Jadhav
DEPARTMENT OF COMPUTER ENGINEERING
S.S.V.P.S.’s B.S. DEORE COLLEGE OF ENGINEERING, DHULE
2017-2018
Guided By
Manisha S. Patil
