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Probability: Making uncertainty less uncertain! ๐ŸŒ

Probability Distributions | Bayesian Probability

๐ŸŽฒ Let's dive into the world of Probability! ๐Ÿ“Š

1️⃣ Probability Basics:

   Probability is all about measuring the likelihood of events. In data science, it's a toolkit for dealing with uncertainty. Think of it as your crystal ball for making predictions! ๐Ÿ”ฎ

2️⃣ Probability Distributions:

  1.  Normal Distribution: Picture a bell curve! ๐Ÿ“ˆ It's super common in nature and describes things like heights. Mean (ฮผ) and standard deviation (ฯƒ) are its BFFs.
  2.  Binomial Distribution: This one's for yes/no situations! ๐Ÿค” It tracks success/failure in a set of trials.
  3.  Poisson Distribution: Perfect for rare events! ๐ŸŒŸ Like counting customer arrivals in a store over time.

3️⃣ Bayesian Probability:

   Ever heard of updating beliefs? That's Bayesian probability! ๐Ÿ”„ It's like adjusting your view based on new evidence.

   - Prior Probability: Your initial hunch.

   - Likelihood: How your data fits the story.

   - Posterior Probability: Your new and improved belief.

   - Bayes' Theorem: The magical formula for this process.

Why does this matter? ๐Ÿค”

- Distributions help us make sense of real-world data.

- Bayesian probability adapts to new info, useful in machine learning.

Thank You So Much for Reading Probability: Making uncertainty less uncertain! ๐ŸŒ Article.

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