Offered By: IBM
Secure analysis of credit card dataset
Learn to make the preliminary data analysis in security area based on credit clients card dataset with the helping frameworks and libraries.Continue reading
At a Glance
Learn to make the preliminary data analysis in security area based on credit clients card dataset with the helping frameworks and libraries.
- explore the credit card client’s dataset and to calculate the main statistical indicators.
- build different dependencies among existed attributes of dataset.
- visualize the data analysis results with various plot types.
Skills You Will Learn
Data Science, Data Mining, Artificial Intelligence, Information Security and Intelligence Control, Economic Security Modelling, Machine Learning / Deep Learning Modelling (Optimization), Architecture Design. Experienced in the full set of aspects of the ML & DL lifecycle: concept (architecture design, PoC) & preparing datasets, training NN & hyperparameters optimization, deployment (MVP). Successfully managed projects and developers' teams. Focused on solving complex problems (issues) and their decomposition, and developing solutions from scratch to the SOTA level. 390+ (3 patents; 26 textbooks; 40+ monographs; 125+ manuscripts; 85+ conference publications). Memberships: WorkGroup 11.1, Information Security Management, International Federation for Information Processing, IFIP, 03.2019-; Association for Computing Machinery, ACM, 03.2019-; American Association for Science and Technology, AASCIT, 03.2014-.Read more
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 more