## Multinomial Naive Bayes Explained

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Introduction to Multinomial Naïve Bayes The Bag of Words ModelDifference between Bernoulli, Multinomial and Gaussian Naïve BayesAdvantagesDisadvantagesApplications Contributed by: Gautam Solanki LinkedIn Profile: https://www.linkedin.com/in/gautam-solanki-05b988a2/

## Mean Squared Error – Explained | What is Mean Square Error?

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Contributed by: Swati Deval In Statistics, Mean Square Error (MSE) is defined as Mean or Average of the square of the difference between actual and estimated values.

## Kaplan-Meier Curve Explained | What is Kaplan-Meier Curve?

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Contributed by: Patrick In our everyday life, we come across many time-to-event examples. What does time-to-event mean? It is a course duration variable for each case/subject of interest...

## A Complete understanding of LASSO Regression

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Understanding Lasso RegressionRegularizationRegularization TechniquesLasso RegressionMathematical equation of Lasso RegressionLasso Regression Implementation in PythonLasso Regression Implementation in RLasso Regression Vs Ridge Regression Contributed by: Dinesh Kumar

## Label Encoding in Python Explained

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Label Encoding IntroductionNominal ScaleOrdinal ScaleLabel EncodingLabel Encoding using PythonOne-Hot EncodingOne-Hot Encoding using PythonOrdinal EncodingOrdinal Encoding using Python Contributed by: Satish RajendranLinkedIn Profile: http://www.linkedin.com/in/satish-rajendran85...