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Category: R-ML

Mathematical Representation of a Logistic Regression Model

Mathematical Representation of a Logistic Regression Model

R-ML

Introduction: The Logistic Regression Model is a popular Machine Learning Algorithm used for Classification problems. Thus, Logistic Regression can be used […]

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Compute Gradient Descent of a Multivariate Linear Regression Model in R

Compute Gradient Descent of a Multivariate Linear Regression Model in R

R-ML

Introduction: A Multivariate Linear Regression Model is a Linear approach for illustrating a relationship between a dependent variable (say Y) […]

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Derive Gradient Descent for a Univariate Linear Regression Model

R-ML

I think, whoever starts to learn Machine Learning, checks out the Machine Learning Class by Andrew Ng. I was not […]

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Calculate Cost Function and Gradient Descent for Univariate Linear Regression in R

Assignments

I was trying to follow the Machine Learning class of Andrew Ng and was soon got overwhelmed with all the […]

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Mathematical Representation of a Univariate Linear Regression Model

Mathematical Representation of a Univariate Linear Regression Model

R-ML

Before starting my journey in Machine Learning, I knew that it would require some concepts of Mathematics. But while learning […]

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The First Decision Tree in R

R-ML

Decision Tree is a type of Supervised Learning where the sample is split into two or more homogeneous sets based on […]

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