Statistics
📄 30 ArticlesMulticollinearity in Simple Terms
We all know the definition of multi-collinearity i.e. when 2 or more explanatory variable in multi regression model are highly […]
Basic Statistics
Data Science is 60% Mathematics and 40% coding and other things. Obviously, the numbers are random, but it makes complete […]
Linear, LASSO, Elastic Net, and Ridge Regression in Layman terms (R) with complete code – Part 1
Linear, LASSO, Elastic Net, and Ridge Regression are the four regression techniques which are helpful to predict or extrapolate the […]
Ridge vs LASSO vs Elastic Net Regression
Ridge and LASSO are two important regression models which comes handy when Linear Regression fails to work. This topic needed […]
Cross Validation and varImp in R
I was onto our next book – Linear,Ridge, LAASO, and Elastic Net Algorithm explained in layman terms with code in […]
Tests in Statistics – Chi Square Test
Hypothesis testing is one of the most important topic in a Data Science course. Hypothesis tests evaluates two mutually exclusive […]
Common Statistical Tests
There are various statistical tests in Data Analysis, following are the tests and their use:-1. Correlation -> This test looks […]
Story of Bias, Variance, Bias-Variance Trade-Off
Why do we predict?We predict in order to identify the trend of the future by using our sample data set. […]
Linear Regression Interview Questions
Today is Day 19 and we will clear all the Interview Questions related to Linear Regression. Linear Regression Interview Questions […]
P-value in Linear Regression
P-value in Linear RegressionSuppose a child in the family goes to the school daily and one day, his teacher writes […]