Student Work(Assessment)| DLMDSAS011 Assessment:Advanced Stats Python Project work Video |IU

Student | Client Work(Assessment)| DLMDSAS011 Assessment:Bayesian Statistics & Data Visualization Explained Output Video 2024 | IU

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Are you struggling to understand complex statistical concepts like Negative Binomial Distribution, PDF plots, Bayesian estimates, or Ridge Regression?

In this reel, I showcase my final project submission for DLMDSAS011: Advanced Statistics at IU International University of Applied Sciences, Tunisia-based online program. You'll see real code, graphs, and analysis done in Python to solve problems like:

Waiting time probability with custom density functions
Meteorite impact probabilities
Network router failure modeling
Regularized regression with polynomial models
Bayesian estimates using prior & posterior distributions

🎓 This is part of my Applied Mathematics / Data Science journey.
🧠 Let's simplify the complex, one graph at a time!
👨‍💻 Tools used: Python (NumPy, Matplotlib, SciPy, sklearn)
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