In order to perform classification, the Decision Tree Algorithm uses a sequence that has a structure which mimics a tree. This algorithm divides the dataset into tiny subsets that are used...
Category: Machine Learning
Naive Bayes is a classification algorithm which is based on Bayes' theorem that naively assumes independence between features and gives the same weight (degree of significance) to all...
In short, Machine Learning (ML) is a subset of Artificial Intelligence (AI) that comprises a large variety of algorithms which can learn without having to be manually programmed to accomplish a...
Unsupervised Machine Learning consists of fitting the model to the data without any relationship with an output label, also known as unlabeled data. This means that Unsupervised Machine Learning...
Supervised Machine Learning is the process of determining the relationship between a given set of features (or variables) and a target value, which is also known as a label or a classification. Which...
The world of machine learning is evolving so fast that it’s not easy to find real-world use cases that are relevant to what you’re working on. That’s why we’ve collected these technical blogs...
