Voting Ensembles Voting ensembles combine diverse machine learning models using techniques like majority voting or average predictions. The individual models used in the ensemble could be regression or classification-based algorithms. Once the individual models have been trained, the ensemble can be constructed in a couple of different ways. In regression, ensembles are created by averaging […]

In this post, we’ll be learning about decision trees, how they work and what the benefits are for using them. We’ll also use this algorithm in a real-world data to predict diabetes. So, what are decision trees? Decision trees are a machine learning method for classification or regression. It works by segmenting the dataset through […]