Air-Pollution-Prediction
所属分类：人工智能/神经网络/深度学习
开发工具：Jupyter Notebook
文件大小：0KB
下载次数：0
上传日期：2024-03-20 20:41:29
上 传 者：
sh-1993
说明： “很高兴与大家分享我在LinkedIn上的最新项目！介绍我在Streamlit上部署的空气污染预测ML模型。该解决方案在培训和测试数据方面的准确率分别为97%和96%，令人印象深刻，专注于关键污染物：二氧化硫、二氧化氮和PM10。记住，当地AQI变化可能会受到因素的影响。
("Excited to share my latest project on LinkedIn! Introducing my air pollution prediction ML model deployed on Streamlit. With an impressive accuracy of 97% on training and 96% on testing data, this solution focuses on key pollutants: Sulfur Dioxide, Nitrogen Dioxide, and PM10. Remember, local AQI variations may be influenced by factor.)
文件列表:
.ipynb_checkpoints/
Air Pollution Prediction.ipynb
LICENSE
app.py
data.csv
en.pkl
img.png
model.pkl
requirements.txt
# Air-Pollution-Prediction
"Excited to share my latest project on LinkedIn!
Introducing my air pollution prediction ML model deployed on Streamlit.
With an impressive accuracy of 97% on training and 96% on testing data,
this solution focuses on key pollutants: Sulfur Dioxide, Nitrogen Dioxide, and PM10.
Remember, local AQI variations may be influenced by additional factors.
Let's continue advancing environmental insights together!
#AirQualityPrediction #MachineLearning #Streamlit #RandomForest #EnvironmentalInsights"
https://air-pollution-prediction-pawan.streamlit.app/
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