Tag: random forests
Difference between Decision tree and Random Forest?
Decision tress – A decision tree is a machine learning model that is used for classification and regression. It is constructed in a way that splits the given data into smaller subsets, each of which contains data points with the same properties. The decision tree algorithm then recursively splits these subsets until it reaches a…
Read MoreWhat are the most important supervised and unsupervised algorithms?
Supervised Learning algorithms: K-nearest neighbors Linear regression Naïve Bayes Support vector machines Logistic regression Decision trees and random forests K-nearest neighbors: K-nearest neighbors is a Machine learning technique which comes under supervised learning. This technique can be used for classification or regression problems. In supervised learning, we need to specify a target value for the…
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