ABOUT THE WORKSHOP:

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 workshop, we will work through the data preparation process for a sales forecasting use case. We will start with exploration of the data to identify the key tables, before moving on to engineering new features to support the forecast and join all of the data together. We will finish by making the data available both for modeling and production.

Speaker: Patrick Dougherty, Co-Founder & CEO

свернуть