01 Data Science Interactive: Marginal, Joint, Conditional

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.
Follow along with the interactive Python code in a Jupyter Notebook available in my GitHub repositories @ github.com/GeostatsGuy/Python....
For more complete lectures check out my other KZbin lectures with linked Python workflows and demonstrations:
* Probability Lecture:
• 2a Data Analytics: Pro...
* Histograms, PDFs and CDFs Lecture:
• 03 Data Analytics: Uni...

[@bmacmill]

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!!!!

[@hamzacheniti6943]

It's a pleasure to see you again

[@GeostatsGuyLectures]

Thank you! It has been a while! Super busy and excited to keep building more content on KZbin.

[@LTLn247]

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.

[@abdesselemdehdouh-ch3hv]

Thanks Pr. Pyrcz

[@AbhishekSinghSambyal]

Amazing.

[@user-xc9mo9qh4q]

Wooow, thx for video