Classification-thanks-to-the-SVM-model-with-7-years-of-ozone-data-with-Machine-Learning and Classification-SVG-model

About Classification-thanks-to-the-SVM-model-with-7-years-of-ozone-data-with-Machine-Learning

emirhanai/Classification-thanks-to-the-SVM-model-with-7-years-of-ozone-data-with-Machine-Learning

I developed 2 machine learning software that predict and classify ozone day and non-ozone day. The working principle of the two is similar but there are differences. I got the dataset from ics.icu. Each software has a different mathematical model, Gaussian RBF and Linear Kernel, and classifications are visualized in different ways. I would be happy to present the software to you!

This project helps environmental scientists and air quality analysts predict and classify "ozone days" based on historical data. It takes 7 years of ozone-related atmospheric measurements as input and outputs a classification of whether a given day is an ozone day or a non-ozone day, along with visualizations of these predictions. The primary users are researchers or agencies monitoring air quality.

About Classification-SVG-model

rifat-w/Classification-SVG-model

Classify ozone days using SVM models with 7 years of data. Explore Gaussian RBF and Linear Kernel methods for accurate predictions. 🌍📊