Flowers

DataHour: Hands-on Workshop on Feature Engineering

Online 22-02-2022 08:30 PM to 22-02-2022 09:30 PM
  • 1025

    Registered

  • Knowledge and Learning

    Prizes

Webinar Recording

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 stated, “Applied machine learning is basically feature engineering.”

This DataHour is going to be a hands-on workshop in which we’ll walk through the feature engineering process for a modeling problem. We’ll apply advanced feature engineering techniques to a set of transactions to show how they can build a complex picture of behavior over time.

Prerequisites: Enthusiasm for learning Data Science!

P.S If you’ve attended or watched the recording of the DataHour on “Overview of Feature Engineering for Data Science”, that would be a plus. Recording can be found here.


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


Speaker:

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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