/DSL_ML_scikit_learn

Introduction to Machine Learning with scikit-learn

Primary LanguageJupyter NotebookBSD 3-Clause "New" or "Revised" LicenseBSD-3-Clause

Data Science Lab Machine Learning with scikit-learn course

To run the course content, clone or download (green "Code" button) this repository. You will need Jupyter, scikit-learn and seaborn to run the content. One way of installing these packages is to use conda with the environment.yml file provided in this repository. For this, open a terminal (regular terminal on OSX, Miniconda/Miniforge Prompt on Windows), move to the repository and run:

conda env create -f environment.yml
conda activate dslsklearn
jupyter lab

This will open Jupyter Lab in your browser. You can then navigate to the notebooks and run them.

If you notice any error or have questions, please open an issue.