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Local install instructions

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 Anaconda (Windows, MacOSX or Linux) here
  • run the installer following the instructions here depending on your operating system.

Create conda environment

Download environment.yml from this repository

conda env create -f environment.yml

Check your install

To make sure you have all the necessary packages installed, we strongly recommend you to execute the check_env.py script located at the root of this repository:

# Activate your conda environment
conda activate 9469
python check_env.py

Make sure that there is no FAIL in the output when running the check_env.py script, i.e. that its output looks similar to this:

Using python in /home/lesteve/miniconda3/envs/scikit-learn-course
3.9.1 | packaged by conda-forge | (default, Jan 10 2021, 02:55:42)
[GCC 9.3.0]

[ OK ] numpy version 1.19.5
[ OK ] scipy version 1.6.0
[ OK ] matplotlib version 3.3.3
[ OK ] sklearn version 1.2.1
[ OK ] pandas version 1.2.0
[ OK ] seaborn version 0.11.1
[ OK ] notebook version 6.2.0
[ OK ] plotly version 5.10.0