Description
Credit Risk Modeling in Python 2020 Comprehensive modeling training course Credit risk It is based on the Python language. In fact, this course is a complete data science project using the Python language, which includes all stages of preprocessing, modeling, validation, and maintenance and improvement. In this course, he learns how banks use data science modeling to improve performance and comply with legal requirements. This course, which is designed for beginners, provides a very complete knowledge of credit risk, concepts and techniques including three aspects of the expected loss equation (PD, LGD and EAD) as well as practical skills of data science modeling in Python. It is up to you. Many similar courses cover multiple frameworks but skip preprocessing and theories.
The superiority of this course is that, first of all, it forms a very strong and solid foundation for you by mastering the concepts and then teaches all the steps from pre-processing to modeling and validation. This course also discusses how to build models that comply with Basel II and Basel III regulations. Among the data science techniques covered by this course are WOE and IV (abbreviation of Weight of evidence and Information value), Fine classification, Coarse classification, linear regression, logical regression, area under the curve, characteristic curve. system performance, Gini index, Kolmogorov-Smirnov, evaluation of population stability and model maintenance.
What do you learn:
- Improve Python modeling skills
- Enhance resumes and job interviews by mastering data science skills
- How to pre-process data (using real data)
- Learning the theory of credit risk modeling
- Application of up-to-date data science techniques
- Performing linear and logical regression in Python
- And …
This training is suitable for people who:
- Data science students who are interested in improving their skills
- People who are interested in specialized work in the field of credit risk modeling
- Beginners who want to get a solid foundation and then build their skills
- People who are working in the field of marketing and want to strengthen their career by mastering data science
- People who are looking for employment in a great profession
Specifications Credit Risk Modeling in Python 2020 :
- Publisher: Udemy
- Teacher: 365 Careers
- English language
- Education level: from elementary to advanced
- Number of lessons: 75 lessons in 13 sections
- Duration: 6h 51m
Headlines
prerequisites
- No prior experience is required. We will start from the very basics
- You’ll need to install Anaconda and Python. We will show you how to do that step by step
Pictures
Sample video
Installation guide
After extracting, watch with your favorite player.
English subtitle
Quality: 720p
download link
Password file(s): www.downloadly.ir
Size
3 GB
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