The aim of the present project is to produce a model to predict rent prices in popular neighborhoods in Cameroon. It takes into consideration the two main cities of the country Yaounde and Douala.
The data collection process is still ongoing. The current dataset is the result of two crawls I made on the following websites:
It contains 3068 observations of 7 features (like the number of bedrooms and bathrooms, the price etc.) This dataset is still relatively modest to build a robust model. The code I used to scrape the data will be provided.
By exploring this dataset, we may find interesting trends.