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Independently Published Deep Credit Risk: Machine Learning with Python

Name: Deep Credit Risk: Machine Learning with Python
Brand: Independently Published

Banking

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www.deepcreditrisk.com provides real credit data, apps and much more. "Deep Credit Risk - Machine Learning with Python" aims at starters and pros alike to enable you to: - Understand the role of liquidity, equity and many other key banking features - Engineer and select features - Predict defaults, payoffs, loss rates and exposures - Predict downturn and crisis outcomes using pre-crisis features - Understand the implications of COVID-19 - Apply innovative sampling techniques for model training and validation - Deep-learn from Logit Classifiers to Random Forests and Neural Networks - Do unsupervised Clustering, Principal Components and Bayesian Techniques - Build multi-period models for CECL, IFRS 9 and CCAR - Build credit portfolio correlation models for VaR and Expected Shortfall - Run over 1,500 lines of pandas, statsmodels and scikit-learn Python code

Product Specifications

Brand: Independently Published
Format: paperback
ASIN: B08BV3KQG7
Category: Books > Subjects > Business, Finance & Law > Professional Finance > Banking
Domain: Amazon UK
Release Date: 24 June 2020
Listed Since: 24 June 2020

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Independently Published Deep Credit Risk: Machine Learning with Python

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