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Oil and Gas Data Science on Digital Hub™ Series

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Performing Data Science on real world use cases in Oil and Gas industry leveraging Digital Hub™; an innovative data science platform

About this event

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.

Event9: Tuesday May 18, 2021

Machine Learning Best Practices on Digital Hub™ - Part 2

In this webinar, our data scientist will continue demonstrating best practices for developing machine learning models, feature engineering, and model validation.

In Part 1, we shared the best practices for data preparation, starting with your machine learning solution development, connecting to your existing repositories on Digital Hub™, managing your packages, and getting organized with your code and projects in your workspace.

About Integra Data & Analytic Solutions:

Integra is a group of passionate engineers and computer scientists who love solving tough problems. The company's mission is to empower companies and industry data scientists to innovate, scale, and do more with their data. Integra offers better decision-making backed by AI/Machine Learning-powered end-to-end data analytics, turning existing data, in whatever capacity, into the valuable information needed to make profitable decisions.

How to join the webinar:

This is an exclusive hands-on event for Digital Hub™ registered users. If you are registered, watch for an email with the event details, otherwise create your free account here to receive the webinar details.

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