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Impact of Air Pollution on our Lives during pre and post covid19.

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Streamlit

Create a data explorer app.

install streamlit

pip install streamlit

Streamlit Data Science and ML Apps in Python

Streamlit’s open-source app framework is the easiest way for data scientists and machine learning engineers to create beautiful, performant apps, All in pure Python. https://www.streamlit.io/

Machine learning models used

In this project we are using regression models such as:

  • Multiple Linear Regression
  • Polynomial Regression
  • Decision Tree Regression
  • Random Forest Regression
  • Support Vector regression (SVR)

DATA ANALYTICS ON AIR POLLUTION

i have created data analytics on corona virus using machine learning with Streamlit. Building a Matplotlib to Plotly chart convert.

Impact of Air Pollution on our Lives [Vehicular and Industrial Pollution to be taken as key point]

1.dataset download the dataset from kaggle https://www.kaggle.com/rohanrao/air-quality-data-in-india

Libraries Used

numpy, pandas,sklearn,pkl,joblib,matplotlib,seaborn,streamlit.

IDE used:

spyder (Anaconda 3),sublime,spyder3.

project

run the app.py streamlit run app.py model_predict

DATA ANALYTICS ON AIR POLLUTION using Power BI

power bi power bi power bi

https://app.powerbi.com/groups/me/dashboards/435fb732-5165-47f7-816b-5fd95a73bbde?ctid=9a99984a-d810-43f1-b992-dd5f00d2f333