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Publisher : O’Reilly Media; 1st edition (November 26, 2024)
Language : English
Paperback : 409 pages
ISBN-10 : 1098153170
ISBN-13 : 978-1098153175
Item Weight : 1.44 pounds
Dimensions : 7 x 0.84 x 9.19 inches
In today’s data-driven world, making informed decisions is crucial for businesses to stay ahead of the competition. Prescriptive analytics is a powerful tool that helps organizations optimize their decision-making processes by providing recommendations on the best course of action to take.
In this post, we will explore how you can leverage hands-on prescriptive analytics techniques using Python to enhance your decision-making capabilities. By combining data analysis, mathematical modeling, and optimization algorithms, you can gain valuable insights into complex business problems and make more strategic decisions.
We will walk through a step-by-step guide on how to implement prescriptive analytics in Python, covering topics such as linear programming, integer programming, and constraint programming. We will also demonstrate how to use popular Python libraries such as PuLP and Pyomo to build and solve optimization models for various business scenarios.
Whether you are a data scientist, business analyst, or decision maker, learning how to apply prescriptive analytics with Python can help you unlock new opportunities, improve efficiency, and drive better outcomes for your organization. Stay tuned for our upcoming posts as we dive deeper into the world of prescriptive analytics and show you how to unlock its full potential.
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