explanation
Credit Risk Modeling in Python 2020 A comprehensive credit risk modeling course based on the Python language. In fact, this process is a full project scientific data using Python language, including all steps of preprocessing, model categorization, etc., validation, maintenance and improvement. In this course, he will learn how banks use data science modeling to improve performance and comply with legal requirements. The course is designed for beginners, the knowledge is very complete, credit risk, etc. concept and. Techniques including expected shortcomings of the three sides of the equation (PD., LGD and EAD) and functional techniques to model scientific data as desired in the Python language. Many data science courses cover several frameworks, but also cover preprocessing sections and theory.
The advantage of this period is that, above all, it uses conceptual mastery of the form and the foundation is very strong through all stages, from preprocessing to modeling and validation. The course also discusses how to create models compliant with Basel II and Basel III regulations. It includes scientific techniques that until this time had been covered under WOE and IV (short for Weight of Evidence and Information Value), classifications such as Fine, Classify, Coarse, regression, linear, etc. Evaluating regression logic, area under the curve, characteristic curve, performance, system, indicators, Jeannie., Kolmogorov-Smirnov, stability of population and maintenance of model mention.
What to learn
Improve your Python modeling skills
Promote resumes and job interviews through mastery of data science skills
Data preprocessing method (using real data)
Learn credit risk modeling theory
Apply the latest data science techniques
Perform linear and logical regression in Python
and…
This training is suitable for:
Data science students interested in improving their skills
People who tend to specialize in credit risk modeling
Beginners who want to build their skills after building a solid foundation
People who are working in marketing and want to enhance their career by mastering data science.
People who want to get a good job
Profile Credit Risk Modeling in Python 2020
Publisher: Udemy
Instructor: 365 jobs
Language:English
Education level: Preparatory to advanced
Number of classes: 75 classes in 13 sections
Duration: 6 hours 51 minutes
head season
precondition
- No prior experience required. We’ll start with the very basics.
- You will need to install Anaconda and Python. I’ll show you how to do it step by step.
image
sample video
installation manual
Custom view after extraction to player.
Subtitles: English
Quality: 720p
download link
Password file: free download software
file size
3GB