During the second part of the course, you’ll gain an in-depth understanding of a variety of machine learning techniques that you can apply when analysing big data including regression, variable ...

Machine learning algorithm selector GUI: regression, classification, time series forecasting, clustering, dimensionality reduction, new data generation and special classification scenarios. - ...

Among machine learning techniques, decision trees (DTs) are particularly notable for their fast data processing, scalability, ability to interpret complex data relationships, and robust classification ...

Where you will build your decision tree, confusion matrix, performance metrics, forests, and do the vectorization warm up. 2. decision_trees_submission_tests.py: Sample tests to validate your trees, ...

In the past decade, there has been an explosion in the number of diagnostic machine learning (ML) models developed for precision oncology, with the promise of delivering increasingly accurate ...

Studying a decision in archerfish reveals an impressive potential of learning capacities and cognitive aspects that are unexpected for decisions made at reflex speed.