Apr 22, 2020 | Data Science, Statistics
Types of Variables Knowingly / unknowingly, we all tend to use mathematics and numbers in our day-to-day life for decision-making. We can live with basic mathematics skills for our routine grocery...
Apr 13, 2020 | Data Science, Python Programming
This blog is final blog of Linear Regression series. In this blog we will discuss some of the key assumptions of Linear Regression and test the assumptions using Python code. Assumptions of...
Apr 13, 2020 | Data Science, R Programming
This blog is final blog of Linear Regression series. In this blog we will discuss some of the key assumptions of Linear Regression and test the assumptions using R code. Assumptions of Linear...
Apr 13, 2020 | Data Science
A “No Intercept Linear Regression Model” is a linear regression model with intercept = 0, i.e., the regression equation passes through the origin. The aim of this blog is to help you...
Apr 13, 2020 | Data Science
This blog is a continuation of our Linear Regression blog series. In this part of the blog, we will learn how to estimate the value using the model and compute the error in R. No Intercept...
Apr 13, 2020 | Data Science
In machine learning, we apply Variable Transformation to improve the fit of the regression model on the data. The functions such as Natural Log, Exponential, Square, Square-Root, Inverse,...
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