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Air Quality Prediction Using ML Techniques by luxana2605 is a document available to read on EtoBox.

What is Air Quality Prediction Using ML Techniques about?

This document presents a machine learning-based air quality prediction model utilizing data mining techniques, including neural networks and optimization algorithms, achieving over 90% prediction accuracy. The proposed system employs a Random Forest Classifier to analyze air quality data from a comprehensive dataset, addressing limitations of existing models. Key advantages include reduced overfitting, flexibility with data types, and efficient handling of large datasets.

Author

luxana2605

Language

EN