Today is Day 19 and we will clear all the Interview Questions related to Linear Regression. Linear Regression Interview Questions is the first part of the three days series. All the questions of today will revolve around the ...
Continue readingMachine Learning Interview Questions – Updated 2022
Today is Day 9 and we will try to solve the top 10 Machine Learning Interview questions. These questions will revolve around statistics and algorithms with a couple of questions
Continue readingARIMA interview questions | Day 7
TheDataMonk
Grand Master
Machine Learning , Uncategorized
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Today is Day 6 and we will have 10 ARIMA interview questions for you. These ARIMA interview questions are of intermediate level and are asked very often in the interviews
Continue readingForecasting Interview Questions | Day 6
Forecasting is one of the popular domains in Data Science. If you are exploring Data Science then you should definitely look into this domain.Today is Day 6 and we will have 10 Forecasting interview questions for you. These ...
Continue readingMachine Learning Interview Questions | Day 5
TheDataMonk
Grand Master
Machine Learning , Uncategorized
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For Day 5 we will concentrate on Machine Learning Interview Questions. The following 10 questions are mostly asked by an interviewer to know the level of clarity in basics of ML.We have covered 10 questions on SQL, Statistics, ...
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
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Machine Learning , Statistics , Uncategorized
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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
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Machine Learning , Statistics , Uncategorized
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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
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Machine Learning , Statistics , Uncategorized
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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 ...
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