machine learning algorithms

Adaptive Boost Algorithm in Machine Learning

What is AdaBoost Algorithm? AdaBoost, short for Adaptive Boosting, is one of the earliest and most influential ensemble learning algorithms in machine learning. It was introduced by Yoav Freund and…

Linear Regression

What is the Linear Regression Algorithm? Linear regression is a supervised learning algorithm that models the relationship between one or more input variables (features) and a continuous output variable (target)…

FP-Growth Algorithm in Data Mining: Fast Frequent Pattern Mining Explained

What is FP-Growth (Frequent Pattern Growth)? An effective and scalable technique for mining frequent itemsets in big transactional databases is the FP-Growth (Frequent Pattern Growth) algorithm. By employing a tree-based…

K-Nearest Neighbors (KNN) Algorithm: Classification, Working & Real-World Applications

What is k-Nearest Neighbors (k-NN)? A supervised learning approach for classification and regression problems is called k-Nearest Neighbors (k-NN). Since it is instance-based and non-parametric, it does not explicitly learn…

Naive Bayes Algorithm: Working Principle, Types & Applications in Machine Learning

What is Naïve Bayes Algorithm? Naïve Bayes is a probabilistic classification algorithm that relies on Bayes’ Theorem. It assumes that all features in the dataset are independent of one another.…

Adaptive Boost Algorithm in Machine Learning

Linear Regression

FP-Growth Algorithm in Data Mining: Fast Frequent Pattern Mining Explained

K-Nearest Neighbors (KNN) Algorithm: Classification, Working & Real-World Applications

Naive Bayes Algorithm: Working Principle, Types & Applications in Machine Learning

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