Apartment Prices in Mexico City 🇲🇽

In this project, I worked with a dataset of 21,000 properties for sale in Mexico through the real estate website Properati.com. My goal was to determine if sales prices are more influenced by the size of the property or by its location.

- Import data from CSV files and clean them using the pandas library.
- Create data visualizations using scatter and box plots.
- Examine the relationship between two variables using correlation.

View on Github

Air Quality in Dar-es-Salaam 🇹🇿

In this project, I worked with data from one of Africa's largest open data platforms, openAfrica. I examined air quality data from the city Dar es Salaam, Tanzania, and built a time series model to predict PM 2.5 readings throughout the day.

- I obtained data by querying a MongoDB database.
- Prepare the time series data for analysis.
- I built an autoregression model.
- Improve a model by adjusting its hyperparameters.

View on Github