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Logistic Regression Laboratory using data from the UCI Machine Learning Repository

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Logit Regression Lab

Setup

Required software

  • Python v3.9+

Steps

  1. Clone the repository.
git clone https://github.com/woynert/logit-regression-lab
cd logit-regression-lab # enter directory
  1. Create a python environment.
python3 -m venv lab-env
  1. Enter python environment.
source lab-env/bin/activate # linux
source lab-env/Scripts/activate # windows
  1. Install the pip packages. The following command will install numpy, pandas, scikit-learn, plotly, and jupyterlab.
pip install -r requirements.txt
  1. Open JupyterLab 🚀.
jupyter-lab
  1. Inside JupyterLab Web UI open the notebook logit-lab.ipynb.

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Logistic Regression Laboratory using data from the UCI Machine Learning Repository

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