🏘️ Nairobi Real Estate Market Analysis
This project explores a dataset of Nairobi property listings to uncover patterns in pricing based on location, property type, and features like bedrooms, bathrooms, and house size. The dataset was sourced from Kaggle and cleaned using pandas before performing exploratory data analysis (EDA) and predictive modeling. 🧹 Data Cleaning Summary We performed the following steps: Removed currency symbols and converted prices to integers Renamed columns for clarity (price to price_in_ksh, etc.) Corrected inconsistent entries (e.g., townhuse to townhouse) Handled missing values: Filled missing house_size_sqm using the median by propertytype Dropped duplicate and unused columns Filtered extreme outliers 📊 Exploratory Data Analysis (EDA) 🔹 Average Price by Location ...