hermajesty35/SCA_MINI_PROJECTS

A collection of Data Science mini-projects from the SheCode Africa Academy, including Nightingale’s Coxcomb plot recreation and Telecom Customer Churn analysis using Python. # SheCode Africa Data Science Mini-Projects ## About Me As a Registered Land Surveyor transitioning into Geospatial Data Science, I am interested in how data visualization can communicate complex spatial and statistical trends—much like Florence Nightingale did with her Coxcomb plots. ## Project Overview This repository contains my mini-projects at the SCA Academy: 1. **Florence Nightingale & the Crimean War:** Recreating the famous Coxcomb plot to visualize preventable causes of death. 2. **Telecom Customer Churn:** Using data exploration to identify why customers leave service providers. 3. 📂 Avocado Price & Type Analysis - **Focus:** Machine Learning (Regression & Classification). - **Key Skills:** Linear Regression, Time Series, Logistic Regression, PCA.