Business Intelligence and Analytics - Decision Tree with Imperfect Information (Bayes Theorem)
Master Data Mastery: Transform, Analyze, and Visualize! Dive into the world of Big Data, Governance, Python Analytics, Machine Learning, and AI with Stephanie Powers. Unlock data's power and elevate your expertise in modern analytics and data engineering. Enroll now!
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31 learners
What you'll learn
Understand and apply data governance principles to manage data effectively.
Analyze data types and structures using Python for data engineering tasks.
Create dashboards and visualizations in Python to present analytical insights.
Implement machine learning models in Python for classification and prediction tasks.
This course includes
56.5 hours of video
Certificate of completion
Access on mobile and TV
Summary
Full Transcript
This video uses decision trees to make decisions when there is uncertainty and imperfect information. Bayes Theorem is used to find the conditional probabilities based on the whether an expert correctly or incorrectly predicts the state of the economy.
Python workbook available here: https://drstephpowers.github.io/BIA/
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