Statistics
📄 32 ArticlesOne Hot Encoding – Feature Engineering
So, I just started solving the latest Hackathon on Analytics Vidhya, Women in the loop . Be it a real-life […]
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 […]
Multicollinearity 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 […]
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. […]
Missing Value Treatment – Mean, Median, Mode, KNN Imputation, and Prediction
Missing Value treatment is no doubt one of the most important parts of the whole process of building a model. […]
What is Stationarity in Time Series?
Stationarity in Time SeriesThe first step for any time series analysis is to make the data set stationary. Everyone knows […]
Statistics Interview Questions for Data Science
Here we have a set of 17 statistics interview questions that you should understand before your data science interviews. These […]
Statistics Interview Questions
Today we will counter statistics interview question, A Data Science interview will definitely have a good round of statistics. Interviewer […]