In this Regression project we extracted the data related to Air Quality Index from a Website. We have pre-processed the extracted data and made predictions on the AQI based on other factors. We have solved this problem by different algorithms along with Hyper Parameter Tuning.
Algorithms used :
- Linear Regression
- Ridge Regression
- Lasso Regression
- Decision Tree Regression
- Random Forest Regression
- XG Boost Regression
- K Nearest Neighbors Regression
- Artificial Neural Network
Later we compared the performances of these models based on mean absolute error, mean squared error and root mean squared error.