Pinned Repositories
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
stats
finding mean , mode and median
veeragouda's Repositories
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/stats
finding mean , mode and median