Interpretable machine learning applications: Part 3

Instructor: Epaminondas Kapetanios

What you'll learn

  •   Import, explore and normalize real world data (HELOC) for evaluating the risk performance of mortgage applications
  •   Train and test a prediction model as a Sequential model based Artificial Neural Network (ANN)
  •   Generate explanations based on profiles of mortgage applicants closest to the individual requesting the explanation.
  • Skills you'll practice

  •   Machine Learning
  •   Predictive Modeling
  •   Keras (Neural Network Library)
  •   Applied Machine Learning
  •   Commercial Lending
  •   Financial Forecasting
  •   Exploratory Data Analysis
  •   Consumer Lending
  •   Decision Making
  •   Artificial Neural Networks
  •   Data-Driven Decision-Making
  •   Business Analytics
  •   Mortgage Loans
  •   Deep Learning
  •   Tensorflow
  • ©2025  ementorhub.com. All rights reserved