❤️ Accurate: More accurate with Advanced models like CatBoost.
⚡️Models:
Random Forest- Random forests or random decision forests are an ensemble learning method for classification, regression.XGBoost- XGBoost is an open-source software library which provides a gradient boosting.Deep Learning- Multilayer Perceptron, Deep learning is part of a broader family of machine learning methods based on artificial neural networks with representation learning.CatBoost- CatBoost is an open-source gradient boosting on decision trees library with categorical features support out of the box.Logistic Regression- the logistic model is used to model the probability of a certain class or event.
🌈Detection of Air pollution:
- using Logistic Regression That can detect the air pollution and classify air pollution is high or not
🔥Features:
- PM 2.5
- PM 10
- SO2
- NO2
- CO
- Temperature
- Pressure
- Rainfall
- Humidity
🚀 Interface Using shiny: Shiny is an R package that makes it easy to build interactive web apps straight from R.it is used for showing the insight of the data and prediction.
 Vishnu Unnikrishnan 💻 🎨 |
 Sruthy K S 💻 🎨 |
 Teslin Rose 💻 🎨 |
 Vini 💻 🎨 |
