veeranagouda (veeragouda)

veeragouda

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featureselection_ML

univariate feature selection method in machine learing.Statistical tests can be used to select those features that have the strongest relationship with the output variable. The scikit-learn library provides the SelectKBest class that can be used with a suite of different statistical tests to select a specific number of features. The example below uses the chi-squared (chi²) statistical test for non-negative features to select 10 of the best features from the Mobile Price Range Prediction Dataset.

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housepricingpred

using linear regressions predicting the prices of house

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odd-evev

selecting odd and even numbers

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pythoncode

finding the eligibility

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stats

finding mean , mode and median

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