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XGBoost is a powerful ensemble learning algorithm based on the gradient boosting framework. It is widely used for classification and regression tasks due to its efficiency and high accuracy.
LSTM (Long Short-Term Memory)LSTM is a special type of recurrent neural network designed to efficiently learn and retain long-term dependencies in sequential da
FenWick TreeFenwick Tree, also known as Binary Indexed Tree, is a powerful data structure designed to efficiently handle prefix sums and updates in logarithmic
PerceptronThink of the Perceptron as a simple decision-maker—it looks at inputs, weighs their importance, and makes a yes-or-no judgment. It was one of the firs
AlgorithmConstruct the decision tree using the algorithm for the given data set.S.noAgeCompetitionTypeProfit (Class)1OldYesSoftDown2OldNoSoftDown3OldNoHardDown
Bayesian ClassifierGiven the training data set, use naive Boryes algorithms to classify a particular species if its features are (slow, rarely, no).s.noSwimFlyC
Logistics regressionClassification is a kind of problem in machine learning in which a machine learning model assigns the respective class to unseen data based
Polynomial RegressionNot all relationships in data are straight lines—and that’s where polynomial regression becomes powerful. When patterns start to curve, ben
Regressionlinear regressionpolynomial regressionlogistic regressionLinear regression is a method in machine learning where we fit a straight line to a set of da
Types of LearningKNN AlgorithmK-Nearest Neighbors (KNN) is a simple, non-parametric algorithm used for classification and regression. In KNN, the input consists
Machine LearningMachine learning is a mathematical, statistical, and logical model (system, algorithm). In ML, we train machines with past data and experience.M