Student Work(Assessment)| DLMDSAS011 Assessment:Advanced Statistics in Python work Video | IU

Student | Client Work((Assessment)| DLMDSAS011 Assessment: Advanced Statistics module under the Data Science Output Video 2024 | IU University

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Welcome to a visual breakdown of my final project submission for the DLMDSAS011 – Advanced Statistics module under the Data Science / Applied Mathematics program at IU International University of Applied Sciences.

This task-based workbook covers a broad range of real-world statistical problems using Python-based solutions, including:

📌 Key Sections Covered:

🎯 Bernoulli & Poisson Distribution for meteorite modeling

🦉 Waiting time simulation using exponential/PDF equations

🔌 Dual Router Bandwidth Analysis with likelihood estimation

⚒️ Hypothesis Testing on hammer production quality

🔁 Ridge Regularized Polynomial Regression for function fitting

📈 Bayesian Estimates using Gamma Priors

🧠 All tasks used customized parameters (ξ₁ - ξ₂₀) for unique results.
🛠️ Tools: Python, NumPy, Matplotlib, SciPy, statsmodels, sklearn

🎓 University: IU International University of Applied Sciences
🌍 Location: Tunisia (Remote Program)
📚 Course Code: DLMDSAS011
📂 Assessment: Advanced Workbook Task

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