# Predicting-house-prices-in-Cameroon
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.
## Data collection
The data collection process is still ongoing. The current dataset is the result of two crawls I made on the following websites:
- Jumia House Cameroon
- Koutchoumi Real Estate
- Lewambi
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.