Published on: 2024-10-30 05:49:02
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Credit Risk Modeling in Python 2020 is a comprehensive credit risk modeling course based on the Python language . In fact, the course, a full project science data using Python language, which includes all steps of pre-processing, model categories, etc., validation, maintenance and improvement . In this course, he learns how banks use data science modeling to improve performance and comply with legal requirements . This course is for beginners, designed, knowledge is very complete, credit risk, etc. concepts and. techniques, including the three aspects of the equation the disadvantage of the expected ( PD., the LGD and EAD ) as well as the functional skills of modeling of science data to the Python language at your disposal . Many data science courses cover multiple frameworks, but pass through the pre-processing sections and theories .
The superiority of this period it is that the foremost, the base is very strong with the use of the mastery of concepts for your forms and then all the steps from pre-processing to modeling and validation to teach . This course also discusses how to make models that match Basel II and Basel III regulations . Including the techniques of Science, given that by this period, have been covered according to the WOE and IV ( stands for Weight of evidence and Information value ), the classification of Fine, classify, Coarse, etc., regression, linear, etc. regression logical, area under the curve, characteristic curve, performance, system, indicator, Jeannie., the Kolmogorov-Smirnov, assess the stability of the population and maintenance of the model mention .
Improve Python modeling skills
Promoting resumes and job interviews with mastery of data science skills
How to preprocess data ( using actual data )
Learn credit risk modeling theory
Apply up-to-date data science techniques
Perform linear and logical regression in Python
And …
Data science students who are interested in improving their skills
People who tend to work specialized in credit risk modeling
Beginners who plan to get a strong foundation and then build their skill
People who are engaged in marketing and want to strengthen their career by mastering data science
People who are looking for employment in a great profession
Publisher: Udemy
Lecturer: 365 Careers
Language: English
Training level: from preliminary to advanced
Number of lessons : 75 lessons in 13 sections
Duration: 6h 51m
After the Extract with the Player your custom view.
Subtitles: English
Quality: 720p
3 GB
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