A repository containing Machine Learning and Data Science Web Apps made with Streamlit
Streamlit is an open source app framework in Python language. It helps us create web apps for data science and machine learning in a short time. It is compatible with major Python libraries such as scikit-learn, Keras, PyTorch, SymPy(latex), NumPy, pandas, Matplotlib etc.
This app performs simple webscraping of NBA player stats data. Users can view the data in real time and also save data as a csv file.
- Python libraries: base64, pandas, streamlit
- Data source: Basketball-reference.com.
https://share.streamlit.io/nneji123/streamlit-web-app-projects/main/basketball_eda_app.py
This is a simple Streamlit Web App which uses the yfinance library to show the opening, closing, highest, lowest and volume stock prices of Google, Apple and Facebook.
https://share.streamlit.io/nneji123/streamlit-web-app-projects/main/stock_price_eda.py
This app retrieves the list of the Forbes Billionaires (from Wikipedia) and its corresponding data! Users can view the data, visualise the data and also save the data to a csv file.
- Python libraries: base64, pandas, streamlit, numpy, matplotlib, seaborn
- Data source: Wikipedia.
https://share.streamlit.io/nneji123/streamlit-web-app-projects/main/billionaires_eda_app.py