PS14- Discrete Random Variables in Python [Simulation, Probability Distributions & CDF]

Unlock the power of Discrete Random Variables in Python with this comprehensive lecture! Whether you're a student, data scientist, or AI enthusiast, this video will guide you through the essential concepts of discrete probability modeling and statistical analysis. 📌 Topics Covered: ✔️ Generating Discrete Random Variables in Python ✔️ Simulating Discrete Random Variables ✔️ Probability Distributions for Discrete Random Variables ✔️ Understanding and Plotting the Cumulative Distribution Function (CDF) ✔️ Calculating Expected Value (Mean), Variance, and Standard Deviation 🔹 We’ll use NumPy, SciPy, and Matplotlib to implement these concepts and visualize results effectively. 📌 Watch More in this playlist: https://www.youtube.com/playlist?list=PLJ2Ql5O1weHqIh0me7hIR9f-UmesTIfV5 💬 Have questions? Drop them in the comments below! 🚀 Stay Connected: 🔗 Website: https://home.sejong.ac.kr/~piran/ 📧 Email: [email protected] 📖 Google Scholar: https://scholar.google.co.kr/citations?user=Vfi6CSYAAAAJ&hl=ko&oi=ao 💼 LinkedIn: https://www.linkedin.com/in/jalilpiran/ 📺 YouTube: https://www.youtube.com/@piran_ai?sub_confirmation=1 🔥 Don't forget to like, subscribe, and hit the notification bell so you never miss an update! #Python #DataScience #MachineLearning #Statistics #RandomVariables #Probability #PythonProgramming #AI #Matplotlib #SciPy #NumPy