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The Role of Hierarchical Clustering in Machine Learning
An essential unsupervised machine learning technique is hierarchical clustering. It is commonly used to cluster data points that are more similar than those in...
Clustering in Machine Learning: A Comprehensive Overview
Introduction to Clustering in Machine Learning
Clustering is an important unsupervised machine learning approach. Unsupervised learning uses data without labels or classifications. Instead of forecasting...
What is Random Forest in the field of Machine Learning?
A strong and popular machine learning algorithm is Random Forest. It is an ensemble learning method that constructs a model from numerous models, in...
Understanding role of Decision Tree in Machine Learning
Decision trees are effective and popular classification and regression models in machine learning (ML). They model linear and nonlinear data interactions with simple, interpretable...
Naïve Bayes Classifier in the field of Machine Learning
In machine learning, the Naïve Bayes classifier is a basic yet effective probabilistic classification technique. When feature independence is assumed, it performs effectively in...
What is a Support Vector Machine in Machine Learning?
Introduction
As machine learning (ML) evolves, numerous techniques enable computers understand patterns from data and make predictions. Support Vector Machines are powerful and popular algorithms....
K-Nearest Neighbors(KNN) Algorithm in Machine Learning
The K-Nearest Neighbors (KNN) algorithm is one of the most important and widely used methods in machine learning. This learning method is one of...
What is Logistic Regression in Machine Learning?
Logistic regression is a fundamental approach used in machine learning, particularly for binary classification issues. Despite the name "regression," it is used to predict...
What is Classification Algorithm in Machine Learning?
Classification algorithms are essential to machine learning (ML) because they classify data. These supervised learning algorithms require labeled data to train the model. The...
What is Polynomial regression in Machine Learning?
Polynomial regression models complex, non-linear interactions between a dependent variable and one or more independent factors. When data does not follow a straight line,...
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