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Transportation Problem Explained and how to solve it?

Transportation Problem Balanced ProblemUnbalanced ProblemExampleConclusion Contributed by: Patrick Introduction Operations Research (OR) is a state of art approach used for problem-solving...
linear discriminant analysis

Linear Discriminant Analysis or LDA in Python

Contributed by: Rahul Singh LinkedIn Profile: https://www.linkedin.com/in/rahul-singh-3b213117/ Linear Discriminant AnalysisWhy do we need to reduce dimensions in a data set?How to deal...
support vector regression

Support Vector Regression in Machine Learning

Supervised Machine Learning Models with associated learning algorithms that analyze data for classification and regression analysis are known as Support Vector Regression. SVR is built based on the concept of Support Vector...
Quantile Regression

What is Quantile Regression? | Introduction to Quantile Regression

Contributed by: Sreekanth Tadakaluru LinkedIn Profile: https://www.linkedin.com/in/sreekanth-tadakaluru-3301649b/ Before we understand Quantile Regression, let us look at a few concepts. Quantiles are points in a distribution that relates to...
linear algebra for machine learning

Linear Algebra for Machine Learning Examples, Uses and How it works?

Linear Algebra for Machine LearningLinear algebra notationLinear Algebra ArithmeticLinear Algebra for StatisticsMatrix FactorizationLinear least squaresExamples of Linear Algebra in Machine Learning Linear Algebra is an essential field of...