Statistics
📄 32 ArticlesConfusion Matrix in Data Science, meaning and example
What is Confusion Matrix?Confusion Matrix is a performance measuring technique for ML Classification model. Why do we need Confusion Matrix? […]
Explain p-value in simple terms
p-value in simple terms If you are into Data Science, then you must have heard about p-value.I could have started […]
What is the difference between forecasting and prediction?
Forecasting and Prediction are two different things. You always forecast weather, but never predict the weather. Forecasting is nothing but […]
Statistics Interview Questions
1.What is a population and a sample? Population is the complete targeted group of people/objects on which the analysis needs […]
One Hot Encoding – Feature Engineering
So, I just started solving the latest Hackathon on Analytics Vidhya, Women in the loop . Be it a real-life […]
Statistics Interview Questions
Q1. What is a Sample? A. A data sample is a set of data collected and the world selected from a statistical population by […]
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
Today we will counter statistics interview question, A Data Science interview will definitely have a good round of statistics. Interviewer […]
Correlation and Collinearity explained in layman terms
Correlation tells you have two numerical variables relate to each other. It will tell you whether data points that have […]