01 Data Science Interactive: Marginal, Joint, Conditional

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Data Science Interactive Python Demonstrations: Chapter 01: Marginal, Joint and Conditional Probabilities and Distributions

In this walk-through I demonstrate the basic concepts of marginal, joint and conditional probabilities and distributions with a simple synthetic mineral mining dataset.

For more complete lectures check out my other YouTube lectures with linked Python workflows and demonstrations:

* Probability Lecture:

* Histograms, PDFs and CDFs Lecture:
  1. GeostatsGuy Lectures
  2. Data Analytics
  3. Geostatistics
  4. Machine Learning
  5. Spatial Statistics
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When learning about a complex topic, there is a teaching moment when the diverse components make sense together. This video brought disparate parts of my knowledge and experience together brilliantly. I am a software developer who is making the transition from managing financial transactions to analyzing features that explain migration. This video helps me so much. Thank you!!!!

bmacmill
Автор

This is absolutely amazing. I took Bayesian stats for my MS in Data Science (Analytics) from Georgia Institute of Technology, a top three engineering school, and yet, even as a top tier engineering school, neither the professor nor the TAs bothered to explain these this well. I will be rewatching this several more times. Thank you for the work you put in to create all of this and talk us through it.

LTLn