veeragouda

aaradhyapatil.2015-gmail.com

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.

housepricingpred

using linear regressions predicting the prices of house

odd-evev

selecting odd and even numbers

pythoncode

finding the eligibility

pythonworkshop

python interviews

pyworkshop

python interview

stats

finding mean , mode and median

veeragouda/aaradhyapatil.2015-gmail.com

veeragouda/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.

veeragouda/housepricingpred

using linear regressions predicting the prices of house

veeragouda/odd-evev

selecting odd and even numbers

veeragouda/pythoncode

finding the eligibility

veeragouda/pythonworkshop

python interviews

veeragouda/pyworkshop

python interview

veeragouda/stats

finding mean , mode and median