Today we will counter statistics interview question, A Data Science interview will definitely have a good round of statistics. Interviewer will rarely ask you a very mathematical question. But, statistics interview questions will have lots of small but ...
Continue readingStatistics Interview Questions for Data Science
TheDataMonk
Grand Master
Statistics
Comments Off on Statistics Interview Questions for Data Science
1235 views
Here we have a set of 17 statistics interview questions that you should understand before your data science interviews. These are very basic Statistics questions which will check your elementary knowledge
Continue readingWhat 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 that stationarity means a near to constant mean and variance across time.Stationarity in Time Series
Continue readingMissing 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. Why?Because we can't afford to eliminate rows wherever there is a missing value in any of the columns. ...
Continue readingStory of Bias, Variance, Bias-Variance Trade-Off
TheDataMonk
Grand Master
Machine Learning , Statistics , Uncategorized
Comments Off on Story of Bias, Variance, Bias-Variance Trade-Off
1703 views
Why do we predict?We predict in order to identify the trend of the future by using our sample data set. Whenever we create a model, we try to create a formula out of our sample data set. And ...
Continue readingMulticollinearity in Simple Terms
TheDataMonk
Grand Master
Machine Learning , Statistics , Uncategorized
Comments Off on Multicollinearity in Simple Terms
1431 views
We all know the definition of multi-collinearity i.e. when 2 or more explanatory variable in multi regression model are highly linearly related then it's called multicollinearityExample - Age and Selling price of a CarEducation and Annual IncomeHeight and ...
Continue readingCross Validation and varImp in R
TheDataMonk
Grand Master
Machine Learning , Statistics , Uncategorized
Comments Off on Cross Validation and varImp in R
1578 views
I was onto our next book - Linear,Ridge, LAASO, and Elastic Net Algorithm explained in layman terms with code in R , when we thought of covering the simple concepts which are quite helpful while creating models.Cross Validation ...
Continue readingRidge vs LASSO vs Elastic Net Regression
TheDataMonk
Grand Master
Machine Learning , Statistics , Uncategorized
Comments Off on Ridge vs LASSO vs Elastic Net Regression
2089 views
Ridge and LASSO are two important regression models which comes handy when Linear Regression fails to work.This topic needed a different mention without it's important to understand COST function and the way it's calculated for Ridge,LASSO, and any ...
Continue readingLinear, LASSO, Elastic Net, and Ridge Regression in Layman terms (R) with complete code – Part 1
TheDataMonk
Grand Master
Machine Learning , Statistics , Uncategorized
Comments Off on Linear, LASSO, Elastic Net, and Ridge Regression in Layman terms (R) with complete code – Part 1
882 views
Linear, LASSO, Elastic Net, and Ridge Regression are the four regression techniques which are helpful to predict or extrapolate the prediction using the historic data. Linear doesn't have any inclination towards the value of lambda.LASSO ...
Continue readingOne Hot Encoding – Feature Engineering
So, I just started solving the latest Hackathon on Analytics Vidhya, Women in the loop . Be it a real-life Data Science problem or a Hackathon, one-hot encoding is one of the most important part of ...
Continue reading