Understanding k-Nearest Neighbor: Definition, Explanations, Examples & Code
The k-Nearest Neighbor (kNN) algorithm is a simple instance-based algorithm used for both…
Understanding LightGBM: Definition, Explanations, Examples & Code
LightGBM is an algorithm under Microsoft's Distributed Machine Learning Toolkit. It is a gradient…
Understanding CatBoost: Definition, Explanations, Examples & Code
Developed by Yandex, CatBoost (short for "Category" and "Boosting") is a machine learning algorithm…
Understanding eXtreme Gradient Boosting: Definition, Explanations, Examples & Code
XGBoost, short for eXtreme Gradient Boosting, is a popular machine learning algorithm…
Understanding Support Vector Regression: Definition, Explanations, Examples & Code
Support Vector Regression (SVR) is an instance-based, supervised learning algorithm which is…
Understanding Boosting: Definition, Explanations, Examples & Code
Boosting is a machine learning ensemble meta-algorithm that falls under the category of ensemble…
Understanding AdaBoost: Definition, Explanations, Examples & Code
AdaBoost is a machine learning meta-algorithm that falls under the category of ensemble methods.…
Understanding Weighted Average: Definition, Explanations, Examples & Code
The Weighted Average algorithm is an ensemble method of calculation that assigns different…
Understanding Stacked Generalization: Definition, Explanations, Examples & Code
Stacked Generalization is an ensemble learning method used in supervised learning. It is…
Understanding Gradient Boosted Regression Trees: Definition, Explanations, Examples & Code
The Gradient Boosted Regression Trees (GBRT), also known as Gradient Boosting…
Understanding Random Forest: Definition, Explanations, Examples & Code
Random Forest is an ensemble machine learning method that operates by constructing a…
Understanding Principal Component Regression: Definition, Explanations, Examples & Code
Principal Component Regression (PCR) is a dimensionality reduction technique that combines Principal…
Understanding Projection Pursuit: Definition, Explanations, Examples & Code
Projection Pursuit is a type of dimensionality reduction algorithm that involves finding the…
Understanding Flexible Discriminant Analysis: Definition, Explanations, Examples & Code
The Flexible Discriminant Analysis (FDA), also known as FDA, is a dimensionality…
Understanding Convolutional Neural Network: Definition, Explanations, Examples & Code
Convolutional Neural Network (CNN), a class of deep neural networks, is widely…
Understanding Multilayer Perceptrons: Definition, Explanations, Examples & Code
The Multilayer Perceptrons (MLP) is a type of Artificial Neural Network (ANN) consisting…
Understanding Back-Propagation: Definition, Explanations, Examples & Code
Back-Propagation is a method used in Artificial Neural Networks during Supervised Learning. It is…
Understanding Radial Basis Function Network: Definition, Explanations, Examples & Code
The Radial Basis Function Network (RBFN) is a type of Artificial…
Understanding Naive Bayes: Definition, Explanations, Examples & Code
Naive Bayes is a Bayesian algorithm used in supervised learning to classify data.…
Understanding Averaged One-Dependence Estimators: Definition, Explanations, Examples & Code
Averaged One-Dependence Estimators, also known as AODE, is a Bayesian probabilistic classification…
Understanding Bayesian Network: Definition, Explanations, Examples & Code
The Bayesian Network (BN) is a type of Bayesian statistical model that represents…
Understanding Classification and Regression Tree: Definition, Explanations, Examples & Code
Classification and Regression Tree, also known as CART, is an umbrella…
Understanding Conditional Decision Trees: Definition, Explanations, Examples & Code
Conditional Decision Trees are a type of decision tree used in supervised…
Understanding Ridge Regression: Definition, Explanations, Examples & Code
Ridge Regression is a regularization method used in Supervised Learning. It uses L2…
Understanding Least Absolute Shrinkage and Selection Operator: Definition, Explanations, Examples & Code
The Least Absolute Shrinkage and Selection Operator (LASSO), is…
Understanding Elastic Net: Definition, Explanations, Examples & Code
Elastic Net is a regularization algorithm that is used in supervised learning. It…
Understanding Least-Angle Regression: Definition, Explanations, Examples & Code
Least-Angle Regression (LARS) is a regularization algorithm used for high-dimensional data in supervised…
Understanding Support Vector Machines: Definition, Explanations, Examples & Code
Support Vector Machines (SVM), is an instance-based, supervised learning algorithm used for…
Understanding Ordinary Least Squares Regression: Definition, Explanations, Examples & Code
The Ordinary Least Squares Regression (OLSR) is a regression algorithm used…
Understanding Stepwise Regression: Definition, Explanations, Examples & Code
Stepwise Regression is a regression algorithm that falls under the category of supervised…