Unlock the power of the Poisson Distribution in Python!
In this comprehensive tutorial, we cover everything you need to know—from the definition and key properties like mean and variance, to calculating the Probability Mass Function (PMF) and Cumulative Distribution Function (CDF). Learn how to implement these concepts in Python with real-world coding examples that will elevate your understanding of probability and statistics in data science and AI.
🔍 What You’ll Learn:
What is Poisson Distribution?
PMF and CDF explained
How to calculate Mean and Variance
Python coding for Poisson functions using scipy.stats
Real-world examples and visualizations
🧠 Ideal for students, researchers, and data enthusiasts aiming to strengthen their statistical foundation for AI, ML, or data science.
📌 Whether you're working on probabilistic modeling or preparing for interviews, this video builds a strong theoretical foundation with hands-on coding using Scipy and Matplotlib.
🖥️ Code and resources available in the description.
💬 Have questions? Drop them in the comments below!
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