scikit-learn tutorial

You can run the notebooks in a binder:

Getting started

The course uses Python 3 and some data analysis packages such as Numpy, Pandas, scikit-learn, and matplotlib.

Install Miniconda

This step is only necessary if you don't have conda installed already:

• download the Miniconda installer for your OS here
• run the installer following the instructions here depending on your OS.

Create conda environment

# Clone this repo
git clone https://github.com/lesteve/2020-scikit-learn-tutorial
cd 2020-scikit-learn-tutorial
# Create a conda environment with the required packages for this tutorial:
conda env create -f environment.yml

Check your install

We strongly recommend you to open and execute the script located at the root of this repository to make sure you have the necessary packages installed:

# Activate your conda environment
conda activate scikit-learn-tutorial
python check_env.py

Run Jupyter notebooks locally

# Activate your conda environment
conda activate scikit-learn-tutorial
jupyter notebook

The Jupyter notebooks are located in the notebooks folder.