Air-Pollution-Prediction-and-Forecasting

KO | EN

gitlite — search

#python #typescript #go #deep-learning #linux #nodejs #java #windows #cli #kubernetes #vue #pytorch #mcp #open-source

Air-Pollution-Prediction-and-Forecasting

(★ 53)

:octocat: Detection and Prediction of Air quality Index :octocat:

Air-Pollution-Prediction-and-Forecasting 최신버젼 다운로드

최종 버전 다운로드 (.zip)

// repository documentation

Was this content helpful?

★ 0 (0 ratings)

# AIR POLLUTION FORECASTING AND PREDICTION
### MODELS ✨

⚡️**Models for Prediction:**
 - `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.

🌈**Models For Forecasting:**

- `LSTM`- A Deep Learning method to find Future values of AQI upto 7 days 
 - `Prophet` - a package developed by facebook

🔥**Features:**
 - Temperature (°C)
 - Wind Speed (Km/h)
 - Pressure (Pa)
 - NO2 (ppm)
 - Rainfall (Cm)
 - PM10 (μg/m3)
 - PM2.5 (μg/m3)
 - AQI

📦 **Used Packages**
 1. caret
 2. tidyverse
 3. tidymodels
 4. randomforest
 5. xgboost
 6. data.table
 7. Hmisc
 8. catboost
 9. VIM
 10. Shiny
 ## Prediction Data 📝
 ![](https://raw.githubusercontent.com/vishnuvu7/Air-Pollution-Prediction-and-Forecasting/master/images/Histogram.png)
 ## Forecast Data 📝
 ![](https://raw.githubusercontent.com/vishnuvu7/Air-Pollution-Prediction-and-Forecasting/master/images/Forecast.png)
 
 ## Interface 🔮
 ![](https://raw.githubusercontent.com/vishnuvu7/Air-Pollution-Prediction-and-Forecasting/master/images/air.png)
🚀 **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._
### Collaborators

<table>
  <tr>
   <td align="center"><a href="https://github.com/grtvishnu"><img src="https://avatars3.githubusercontent.com/u/36582881?s=400&v=4" width="100px;" alt="Vishnu V U"/><br /><sub><b>Vishnu Unnikrishnan</b></sub></a><br /><a href="https://github.com/grtvishnu" title="Code">💻</a> <a href="#design-Grtvishnu" title="Design">🎨</a></td>
    <td align="center"><a href="https://github.com/sruthi026"><img src="https://avatars0.githubusercontent.com/u/57868281?s=400&v=4" width="100px;" alt="Sruthy K S"/><br /><sub><b>Sruthy K S</b></sub></a><br /><a href="https://github.com/sruthi026author=liyasthomas" title="Code">💻</a> <a href="#design-sruthy" title="Design">🎨</a></td>
    <td align="center"><a href="https://github.com/TESLINR"><img src="https://avatars1.githubusercontent.com/u/32611761?s=400&v=4" width="100px;" alt="Teslin Rose"/><br /><sub><b>Teslin Rose</b></sub></a><br /><a href="https://github.com/TESLINR" title="Code">💻</a> <a href="#design-Teslin" title="Design">🎨</a></td>
   <td align="center"><a href="https://github.com/vini1998"><img src="https://avatars0.githubusercontent.com/u/36506887?s=400&v=4" width="100px;" alt="Vini"/><br /><sub><b>Vini</b></sub></a><br /><a href="https://github.com/vini1998" title="Code">💻</a> <a href="#design-vini" title="Design">🎨</a></td>
   
 </tr>
</table>
<div align="center">
  <br>
  <a href="https://postwoman.io"><img src="https://raw.githubusercontent.com/liyasthomas/templates/master/assets/logo.gif" alt="Postwoman.io" width="200"></a>
  <br>
  <h3>Happy Coding ❤︎</h3>
</div>

Air-Pollution-Prediction-and-Forecasting

Air-Pollution-Prediction-and-Forecasting 최신버젼 다운로드

오늘의 추천 프로젝트

Was this content helpful?

Recent Feedback

Air-Pollution-Prediction-and-Forecasting

Air-Pollution-Prediction-and-Forecasting 최신버젼 다운로드

오늘의 추천 프로젝트

Was this content helpful?

Recent Feedback

Download README