Explaining Bayesian Networks and Building an AI Project with Python on Customer Purchase or not?
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In this video, we will explore Bayesian Networks and their role in Explainable AI. We will discuss the architecture of Bayesian Networks and demonstrate how they work with real-life examples in an interactive way. We will also build a project using Python that predicts whether a customer will purchase an item or not based on a Bayesian Network model. This video is perfect for anyone who wants to learn more about Explainable AI and how to apply Bayesian Networks in practical applications.
Topics Covered in this video:
1. Bayesian Networks
2. Bayes Theorem
3. High-Level Working of Bayesian Networks
4. Architecture of Bayesian Networks
5. Example of Medical Diagnosis System Explained
6. In-Depth Working and Fundamentals Explained.
7. Python Project on Customer Purchasing or not using Historical Data.
8. Applications of Bayesian Networks.
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