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air-quality-analysis's Introduction

Air quality analysis

General info

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.

Technologies

The project is created with:

  • Python 3.6
  • libraries: pandas, numpy, sklearn, seaborn, matplotlib.

Running the project:

To run this project use Jupyter Notebook or Google Colab.

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