Oil and Gas Data Science on Digital Hub™ Series
Performing Data Science on real world use cases in Oil and Gas industry leveraging Digital Hub™; an innovative data science platform
Event 10: Tuesday June 8, 2021
Machine Learning Best Practices on Digital Hub™ – Part 3
In this hands-on webinar, we will continue our machine learning analysis on the power plant production data.
In Part 1 & 2, we developed a machine learning model and tuned the model using feature engineering and hyperparameter tuning to achieve the best score. In Part 3 we will validate the model and combine the prediction results with electricity market price to make electricity trading recommendations. We will then show you how this recommendation will result in millions of dollars saving for plant operators.
You will have access to the notebook and data to follow along during the session.
About the Series
In this webinar series we demonstrate variety of data science techniques and industry best practices to develop solutions and generate insights for real world use cases in the Oil and Gas industry.
In these 30 minutes hands-on webinars, we walk you through end-to-end analysis for specific use cases. We leverage our platform, Digital Hub™’s capabilities and our experience in delivering successful data science projects in the Oil and Gas industry to develop the solutions.
We also make the data and notebook template available to platform users so they can practice and perform the analysis on their own data.