DataHour: An Overview of Feature Engineering for Data Science

Online 15-02-2022 08:30 PM to 15-02-2022 09:30 PM
  • 1024


  • Knowledge and Learning


Webinar Recording

Find the resources used in the session HERE

About the Webinar:

Feature engineering is more than simply missing value imputation, handling outlier and categorical variables, and scaling numerical variables. It is an opportunity to allow a data scientist's creativity to shine and as Andrew Ng’s stated, “Applied machine learning is basically feature engineering.”

In this DataHour, we will discuss advanced feature engineering techniques, best practices for ensuring these techniques work in a production environment, and finally, share a repository of more advanced feature engineering techniques.

Prerequisites: Enthusiasm for learning Data Science!

Who is this Webinar for?

  • Students & Freshers who want to build a career in Data Science
  • Working professionals who want to transition to a data science career
  • Data science professionals who want to accelerate their career growth


Andrew Engel
Chief Data Scientist, Rasgo 

Andrew Engel is the Chief Data Scientist at Rasgo. He has been working as a data scientist and leading teams of data scientists for over ten years in a wide variety of domains from fraud prediction to marketing analytics.

Andrew received his Ph.D. in Systems and Industrial Engineering with a focus on optimization and stochastic modeling. He has worked for Towson University, SAS Institute, the US Navy, Websense (now ForcePoint), Stics, HP and led DataRobot's efforts in Entertainment, Sports and Gaming before joining Rasgo in August of 2020.

You can connect with him on LinkedIn and Twitter


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