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Category: linear regression

Simple Linear Regression using Keras

  • January 30, 2020June 27, 2021
  • by Niranjan B Subramanian

Regression is a statistical approach used for predicting real values like age, weight, salary, for example. In regression, we have a dependent variable which we want to predict using some independent variables. The goal of regression […]

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Assumptions Made by Ordinary Least Squares(OLS)

  • September 12, 2019June 27, 2021
  • by Niranjan B Subramanian

Introduction: Ordinary Least Squares(OLS) is a commonly used technique for linear regression analysis. OLS makes certain assumptions about the data like linearity, no multicollinearity, no autocorrelation, homoscedasticity, normal distribution of errors. Violating these assumptions may reduce […]

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Linear Regression Using Statsmodels

  • September 2, 2019June 27, 2021
  • by Niranjan B Subramanian

Introduction: In this tutorial, we’ll discuss how to build a linear regression model using statsmodels. Statsmodels is a Python module that provides classes and functions for the estimation of many different statistical models, as well as […]

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Introduction To Linear Regression(Part-2)

  • July 22, 2019June 27, 2021
  • by Niranjan B Subramanian

In the previous part of the Introduction to Linear Regression, we discussed simple linear regression. Simple linear regression is a basic model with just two variables an independent variable x, and a dependent variable y based […]

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Introduction to Linear Regression

  • July 1, 2019June 27, 2021
  • by Niranjan B Subramanian

Before we venture into linear regression, let’s first try to understand what regression analysis is? What is Regression? Regression is a statistical approach used for predicting real values like the age, weight, salary, for example. In […]

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