In this repository I have tried to predict the values of air pollution measurements over time, based on basic weather information (temperature and humidity) and the input values of 5 sensors. This project is from Kaggle.
In addition, in this project, my effort has been to improve object-oriented programming skills.
For forecasting based on tabular data, I have used three models below:
- RandomForest
- XGBoost
- Neural Networks (based on Embeding techniques)