Introduction to Feature Selection in Machine Learning using Python

RahulBaboota


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Description:

The talk is an Introduction to Feature Selection in Machine Learning using Python . Feature Selection is one of the most abstract concepts in Machine Learning with very less formal resources available .

This talk is aimed at helping people understand the importance and the intuition behind various techniques used for performing Feature Selection . The talk also entails details about how to reciprocate the mentioned techniques using different libraries in Python , namely , Scikit-Learn and Scipy .

The aim of the talk is to impart the importance of Feature Selection in any Machine Learning Pipeline and how it can be a great asset for any Machine Learning practitioner in their arsenal .

The talk is an absolute Introductory level talk , however , understanding of basic fundamentals of machine learning would enable the audience to take away more from it .

Prerequisites:

The talk is an absolute Introductory level talk , however , understanding of basic fundamentals of machine learning would enable the audience to take away more from it .

Speaker Info:

Rahul Baboota is an undergraduate in India studying Computer Science and Engineering . He has an avid interest in the domain of Data Science , Machine Learning and Deep Learning . He is currently working as a Research Assistant on a project funded by The Department Of Science And Technology (DST) (Government of India). Prior to this , he was a Data Engineering Intern at a Journalism based startup for about 8 months. He is core member of the community PyDataDelhi where in he gave a talk on “Feature Selection in Machine Learning” .

Section: Data Visualization and Analytics
Type: Talks
Target Audience: Intermediate
Last Updated:

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