Project 2: Lagos Rent Prediction Web Application
The data for this project was source from PropertyPro and NigeriaPropertyCentre websites. After webscrapping was performed to generate the required data. We cleaned the data before Exploratory Data Analysis (EDA) was further conducted using python plotting libraries like Matplotlib, NumPy, and Pandas. CatBoost Regressor algorithm was used as the regression model, and the results gotten from the model are: Learn {R2: 0.68, RMSE: 0.60} Validation {R2: 0.76, RMSE: 0.49} With the model concluded, an API was created using FastAPI to allow the software teams integrate the model.
