Bootstrapping And Bagging
Introduction: Bootstrapping And Bagging When using ensemble templates, bootstrapping and bagging can be very helpful. Bootstrapping is in effect, random […]
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December 2020
Random Forest
Introduction: Random Forest A random forest is an ensemble model that combines many decision trees. Individually, predictions made by decision
Logistic Regression in machine learning
Logistic Regression In Machine Learning Logistic Regression is a classification technique that is used to predict a discrete set of
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K-Nearest Neighbour
Introduction: K-Nearest Neighbour The K-Nearest Neighbour method is used for both classification and regression problems. The method is based on
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Naive Bayes
What is Naive Bayes? Naive Bayes algorithm is not just a single classification algorithm but a group of algorithms. These
Decision Tree
Introduction to Decision Tree Decision Tree is a popular supervised classification technique that is used when the target variable is
Linear Regression
Origin of Linear Regression (https://upload.wikimedia.org/wikipedia/commons/thumb/3/3a/Linear_regression.svg/1200px-Linear_regression.svg.png) In statistics, the word regression has an ancient origin and a very particular meaning. Francis
Gradient Descent
What is Gradient Descent? Gradient descent is an optimization algorithm. It calculates the change in the output function if we