a.Predicting Customer Credit Mix - End-to-End Machine Learning Workflow This file focuses on implementing an end-to-end Machine Learning workflow to predict a customer's credit mix. Importing ...

Batch Normalization is a technique used in neural networks to normalize the inputs of each layer. It helps improve training speed, stability, and generalization. This process involves normalizing the ...

Abstract: In domain adaptation (DA), the effectiveness of deep learning-based models is often constrained by batch learning strategies that fail to fully apprehend the global statistical and geometric ...

Imarticus Learning, an ed-tech company, has introduced the 200th batch of its postgraduate programme focused on Data Science and Analytics. The remarkable feature of this particular cohort is the ...