Where Data Meets Decisions - Part 2: New Python Notebook Examples from Gurobi

Event Recap

More New Python Notebook Examples that Combine Data Science and Mathematical Optimization

How can you use different prediction models for price optimization and to keep avocado toast on your breakfast menu? How can you identify plagiarism with text similarity? How can you effectively plan for airline disruption in a time of continual flight delays and cancelations?

By combining data science tools and mathematical optimization.
In this session, Gurobi introduces several of our newest (and free) educational examples that students and instructors can use to learn and teach real-world applications of combined data science and optimization problem solving. We review our new data science library of Python Notebook Examples that combine data science tools and prescriptive analytics and offer new data science learners an entry point into problem-solving with optimization.

Presented Materials:

Download the presentation, here.

The Colab Notebooks that we reviewed in the session can be found by visiting:

Airline Planning After Flight Disruption

Text Dissimilarity using Linear Programming

Price Optimization with Gurobi ML

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