Project Description
In this project, I worked with data from one of Africa's largest open data platforms, openAfrica. I looked at air quality data from Nairobi and Dar es Salaam, and built time series models to predict PM 2.5 readings throughout the day.
Overview
- Retrieved data by querying a MongoDB database
- Prepared time series data for analyses
- Built machine learning models (Linear Regression & ARMA)
- Improved models by tuning their hyperparameters
Languages & Tools
- Python (PyMongo, Pandas, Matplotlib, Plotly, Scikit-learn)
- NoSQL (MongoDB)
View Source
- To view featured notebooks, please send me an email at donald@donaldghazi.com