Bank Defaulters Using ANN
Explore the fundamentals of Artificial Neural Networks (ANN) and their application in predicting bank defaulters in this comprehensive video tutorial. Delve into the brain-inspired data-processing paradigm of ANN, learning its architecture, weights, biases, activation functions, and back propagation. Discover the power of Keras, a user-friendly Python neural network library, and witness practical demonstrations using real-world examples. Master key concepts such as ANN architecture, loss functions, gradient descent, and Keras basic ANN architecture through hands-on demos. Gain valuable insights into dataset overview, model framework, and ANN application in credit data analysis. By the end of this 1-hour 18-minute tutorial, acquire the skills to implement ANNs for financial risk assessment and credit scoring.