Regean2018/namibia-earthquake-capstone

Earthquake dataset and Google Colab notebook for the 2026 BRICS Astronomy Data Analytics Course capstone project. # Namibia Earthquake Analysis **Exploratory Data Analysis and Machine Learning of Earthquake Events in Namibia (1952–2023): A Case Study Using USGS Earthquake Data** This repository contains the Google Colab notebook and dataset for my **2026 BRICS Astronomy Data Analytics Course** capstone project. The project applies **Exploratory Data Analysis (EDA)** and **Machine Learning** to investigate earthquake events recorded in Namibia between **1952 and 2023** using data from the **USGS Earthquake Catalog**. ## Repository Structure ```text namibia-earthquake-capstone/ ├── BRICS_Capstone_Namibia_Earthquake_Analysis.ipynb ├── query.csv └── README.md ``` ## Features - Data cleaning and preprocessing - Exploratory Data Analysis (EDA) - Earthquake data visualization - Linear Regression model - Model evaluation ## Technologies - Python - Google Colab - Pandas - NumPy - Matplotlib - Seaborn - Scikit-learn ## Dataset - **Source:** USGS Earthquake Catalog - **Study Area:** Namibia - **Study Period:** 1952–2023 - **Dataset Size:** 54 earthquake events ## Getting Started Open the notebook in **Google Colab** and run all cells. The dataset is downloaded automatically from this repository, so no manual upload is required. ## Author **Regean Pitiya** 📧 regeanpitiya@yahoo.com ## Acknowledgements - 2026 BRICS Astronomy Data Analytics Course - International Data Intensive Astronomy (IDIA) - United States Geological Survey (USGS)