Client behavior classification in Banking
The purpose of this project is to master the technique of classification of clients in banking for machine learning models.
4.7 (31 Reviews)
Language
- English
Topic
- Artificial Intelligence
Industries
- Banking
Enrollment Count
- 307
Skills You Will Learn
- Machine Learning, Artificial Intelligence, Data Science
Offered By
- IBM
Estimated Effort
- 2 hours
Platform
- SkillsNetwork
Last Update
- May 1, 2024
During the work, the task of a preliminary analysis of a positive response (term deposit) to direct calls from the bank is solved. In essence, the task is the matter of bank scoring, i.e. according to the characteristics of clients (potential clients), their behavior is predicted (loan default, a wish to open a deposit, etc.).
What you will learn
- What are the most useful Python libraries for classification analysis?
- How to transform category data?
- How to create DataSet?
- How to do features selection?
- How to make, fit and visualize classification model?
Language
- English
Topic
- Artificial Intelligence
Industries
- Banking
Enrollment Count
- 307
Skills You Will Learn
- Machine Learning, Artificial Intelligence, Data Science
Offered By
- IBM
Estimated Effort
- 2 hours
Platform
- SkillsNetwork
Last Update
- May 1, 2024
Instructors
Yaroslav Vyklyuk
Full Professor, Doctor of Computer Science, PhD
Dr. Yaroslav Vyklyuk is a full professor at the Lviv Polytechnic National University, Department of Artificial Intelligence Systems. He is an author of over 210 scientific works, 10 monographs, and books, a member of the Editorial Board of 6 international scientific journals, member of the Academic Councils on protection Ph.D. and DrSc thesis in "Mathematical modeling and computational methods". Research Interests: Data Science, Applied System Analysis, Mathematical Modeling, and Decision Making of Complex Dynamic Systems (socio-economic, geographical, tourist, and crisis systems) using Artificial Intelligence Technology, DataMining, Big Data, Parallel Calculations, Statistics, Econometrics, Econophysics and other Advanced Mathematical Methods with implementation into information, WEB, and geographic information systems.
Read moreBogdan Norkin
Dr.Sc. in applied mathematics.
Research Fellow, V.M. Glushkov Institute of Cybernetics of NAS of Ukraine.
Read moreKateryna Hazdiuk
PhD of Software Engineering
I am an assistant professor at the Yuriy Fedcovych Chernivtsi National University, Software of Computer Systems Department; an author of over 40 scientific works and 10 training manuals. Research Interests: Mathematical Modeling of Complex Dynamic Systems (bio-like systems, socio-economic, geographical systems), Data Science, Decision Making using Artificial Intelligence Technology, DataMining, Big Data, Parallel Calculations, Statistics, and other methods.
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