README.md

Streamlit

Create a data explorer app.

install streamlit

pip install --upgrade streamlit opencv-python

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.

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 CORONA VIRUS

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 #