In statistics and data mining, we often encounter the word ‘control’, mostly from terms like control variables and control groups. In fact, a control variable has slightly different meanings in different fields Continue reading Control Variable explained
Train and cross-validate your Linear regression on Python with pre-defined or customized evaluation functions. Continue reading Linear Regression in Python
Many people have a tendency to always do feature centering, scaling or normalizing right before applying predictive models to the data… Continue reading When to do feature centering, scaling and normalization?
This article presents the formulas for coming up with the best-fitted linear regression line. Continue reading How to make a Linear Regressor? (theory)
Not only does Linear regression give us a model for prediction, but it also tells us about how accurate the model is, by the means of Confidence Intervals. Continue reading Confidence Intervals for Linear Regression Coefficients
If you are considering using Linear regression for your production pipeline, you should be aware of its 4 drawbacks. Continue reading Disadvantages of Linear Regression
Linear regression is frequently used in practice because of these 7 reasons. Continue reading Advantages of Linear Regression
In which cases does Linear Regression perform the best? In which cases should we use other algorithms? Continue reading Assumptions of Linear Regression
a number of different types of Linear regression based on various points of view Continue reading Types of Linear regression