Feature Selection In Machine Learning | Feature Selection Techniques With Examples | Simplilearn

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[@NiravS14]

This video was great as it provided a demo of how one of the methods works while selecting features. I see that the features you were left within your demo were a combination of categorical and numeric/continuous features. I have a couple of questions on this point; a) Will you be applying any further feature selection techniques to the features you had remaining following the filter method demo so that you have the most relevant features that have a high importance score and/or correlation with the output variable before passing them through a few ML classifiers? b) What are the feature selection methods used for supervised learning (binary classification) problem where the input features consists of categorical and numeric/continuous data and the class label is either positive-negative and/or 0-1?

[@donharris8846]

Chi squared is pronounced - “Ky squared”. Informative video!

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[@KrampuZ_Jhonnys6508]

Great Video! Are there any drawbacks in using Feature Selection?

[@vishalshukla3299]

The file named Kobe Bryant remembered me of his demise😢😢

[@SimplilearnOfficial]

Sorry about that.

[@alexanderfretheim5720]

@@SimplilearnOfficial Don't be sorry. Remembering the dead is good. I'm sure he would be honored.

[@martinzagari4567]

Minutes remaining may be in the period. Seconds remaining may be the shot clock. Maybe shouldn't be added together. Each would provide a different game constraint on the shooter and different information. But good video overall.

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[@saikiranalagatham3555]

How can I classify features based on gain ratio?

[@SimplilearnOfficial]

Hi, Simplilearn provides online training across the world. We would be happy to help you regarding this. Please visit us at www.simplilearn.com and drop us a query and we will get back to you! Thanks!

[@ehanzhang7844]

Can you send me the Kobe_bryant.csv file?

[@28_seemakumari91]

Please share ppt 🥹