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Utilizing Multilayer Perceptron for Physical Activity Level

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cs180-group19

Utilizing Multilayer Perceptron for Physical Activity Level

Python Notebook: https://colab.research.google.com/drive/1SKGBX4daXHX9r6OweB6yZLolfoGrsyF8?usp=sharing

The web application is powered by Streamlit, which is a convenient app builder made specifically to create shareable web apps from pure Python.

First, install Anaconda Navigator and Streamlit via the guide given in the documentations: https://docs.streamlit.io/library/get-started/installation

The guide also gives insight on how to run our web application.

Next, make sure that all the used libraries aside from Streamlit are installed and updated.

pip install pandas
pip install -U scikit-learn

Now run Anaconda Navigator, select a new environment, and run the following line of code in the pop-up terminal:

streamlit run sleep_predictor.py

Make sure that sleep_predictor.py is within the directory selected by the terminal. Use the cd command to redirect to the directory sleep_predictor.py is located in.

Now the web application is up and running!

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