DevMesh

Air Quality

Raksha Jain

Raksha Jain

Unknown

1 0
  • 0 Collaborators

The objective is to predict the Relative Humidity at a given point of time based on all other attributes affecting the change in RH ...learn more

Project status: Published/In Market

Artificial Intelligence

Code Samples [1]

Overview / Usage

The dataset contains 9358 instances of hourly averaged responses from an array of 5 metal oxide chemical sensors embedded in an Air Quality Chemical Multisensor Device

Ground Truth hourly averaged concentrations for CO, Non Metanic Hydrocarbons, Benzene, Total Nitrogen Oxides (NOx) and Nitrogen Dioxide (NO2) and were provided by a co-located reference certified analyzer.

The objective is to predict the Relative Humidity at a given point of time based on all other attributes affecting the change in RH

Methodology / Approach

For designing the model for predicting RH, I have applied Linear Regression, Decision Tree, Random Forest, Support Vector Machine.

When tested on test data below are RMSE obtained from different algorithms:

RMSE:

-Linear Regression: 6.01

-Decision Tree: 1.36

-Random Forest: 0.86

-Support Vector Machine: 3.89

Technologies Used

  • Programming Language: Python
  • Libraries: Pandas, Scikit-learn, Matplotlib, Seaborn
  • Visualization: plotly

Repository

https://github.com/raksha-jain/Air_quality_analysis

Comments (0)