Loan Balances | Finance in Python - Deep Credit Risk

In this Python video we show you how to: ✔️ Calculate loan balances ✔️ Work with amortizing loans like mortgages ✔️ Compute scheduled balances ✔️ Compute observed loan balances ✔️ Derive Finance formulas for balances using present value and annuity concepts More details on: http://www.deepcreditrisk.com "Deep Credit Risk — Machine Learning in 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 value-at-risk and expected shortfall; ✔️ Run over 1,500 lines of pandas, statsmodels and scikit-learn Python code; and ✔️ Access real credit data and much more … Courses: http://www.deepcreditrisk.com/training.html #CreditRiskModelling #PythonProgramming #CreditRiskModelingInPythonCourse #CreditRiskModelinginPython #datascienceprojects #machinelearningprojects #pythonprojects #artificialintelligenceprojects #programming #coding #dataanalytics #statistics #ml #deeplearning #PythonTutorial #deepcreditrisk #statsmodels #pandas #scikit-learn