meffovoung/aims-data-science-coursework

Academic projects, data science notebooks, and coursework from MSc @ AIMS Rwanda # MSc Data Science Coursework & Assignments - AIMS Rwanda This repository contains academic assignments, code, and reports completed during my Master's in Data Science at **AIMS Rwanda**. ## 📚 Course Code Index | Code | Full Course Name | Main Topics & Tech | | :--- | :--- | :--- | | **PP** | Python Programming | Data structures, algorithms, Python | | **NLA** | Numerical Linear Algebra | Matrix decompositions, numerical methods | | **IPS** | Introduction, Probability & Statistics | Statistical inference, probability distributions | | **SML / SM** | Statistical Machine Learning | Supervised & unsupervised learning, Scikit-Learn, R | | **BDAP** | Big Data Analytics & Processing | Big Data frameworks, PySpark, data pipelines | | **SR** | Statistical Regression | Linear models, GLM, statistical testing | | **DDO** | Data-Driven Optimization | Mathematical optimization, gradient methods | | **INN** | Introduction to Neural Networks | Deep Learning, neural architectures | | **TDA** | Topological Data Analysis | Data geometry, persistent homology | | **GMD** | Graphs, Matroids, Designs | Dimensionality reduction, spatial patterns | ## 📂 File Naming Convention Files are indexed by course code and assignment number (e.g., `SML1` = Statistical Machine Learning Assignment 1).