Overview
In this project, you'll work with data from one of Africa's largest open data platforms, openAfrica. You'll look at air quality data from Nairobi, Lagos, and Dar es Salaam; and build a time series model to predict PM 2.5 readings throughout the day.
Some of the things you'll learn in this project are:
- How to get data by querying a MongoDB database.
- How to prepare time series data for analysis.
- How to build an autoregression model.
- How to improve a model by tuning its hyperparameters.
Time series models are not only important in public health; they're a key part of Financial Engineering. Plus, the concepts you learn in this project will be helpful in Natural Language Processing.
This project consists of 5 NoteBooks :
3.1. Wrangling Data with MongoDB 🇰🇪
3.2. Linear Regression with Time
3.3. Autoregressive Models
3.4. ARMA Models and Hyperparameter Tuning.
3.5. Air Quality in Dar es Salaam 🇹🇿