The project includes data analysis and outliers detection of air quality data. The outliers detection have been made with a few methods such as Tukey's method (IQR) and Isolation Forest algorithm.
The dataset comes from UCI 'Air Quality Data Set' and can be find here.
The project is created with:
- Python 3.6
- libraries: pandas, numpy, sklearn, seaborn, matplotlib.
To run this project use Jupyter Notebook or Google Colab.