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Statistics Interview Questions

Today we will counter statistics interview question, A Data Science interview will definitely have a good round of statistics. Interviewer […]

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⏱️ 3 min read
👁️ 1,953 views
Statistics

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 […]

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⏱️ 4 min read
👁️ 3,279 views
Machine Learning Statistics Uncategorized

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 […]

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⏱️ 7 min read
👁️ 4,030 views
Forecasting Stationarity Time Series
Machine Learning Statistics Uncategorized

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. […]

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⏱️ 4 min read
👁️ 2,959 views
Machine Learning Statistics Uncategorized

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. […]

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⏱️ 5 min read
👁️ 2,478 views
Machine Learning Statistics Uncategorized

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 […]

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⏱️ 3 min read
👁️ 2,373 views
Machine Learning Statistics Uncategorized

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 […]

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⏱️ 4 min read
👁️ 963 views
Machine Learning Statistics Uncategorized

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 […]

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⏱️ 6 min read
👁️ 4,295 views
elastic net regresssion lasso regression Linear Regression regression
Machine Learning Statistics Uncategorized

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 […]

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⏱️ 5 min read
👁️ 2,943 views
Machine Learning Statistics Uncategorized

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 […]

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⏱️ 4 min read
👁️ 1,448 views
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