Tag: random forests
Difference between Decision tree and Random Forest?
When it comes to the domain of machine learning algorithms, two prevalent models are the decision trees and the random forests. While both are employed for classification and regression, they diverge in their data analysis and model building methodologies. Decision Trees A decision tree is a model that segments the presented data into minor subsets…
Read MoreImportant Supervised and Unsupervised Algorithms for Machine Learning
Machine learning is a branch of computer science and artificial intelligence that allows machines to learn automatically without special programming. It involves using algorithms and statistical models to analyze and interpret data and make predictions based on that analysis. Machine learning can be broadly divided into two types of algorithms: supervised and unsupervised. In this…
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