To follow along with this, not mandatory, but use the environment.yaml to replicate my conda environment.

• Parallel processing of SciKit Learn ML Models - shows how to parallelise a machine learning model to really leverage the power of multiple cores and to make dramatic model improvements in terms of performance and training overhead

Install the Anaconda distribution, then open Anaconda prompt.

1. Download the environment.yaml for the tutorials.

2. In Anaconda prompt, navigate to the directory containing the environment.yaml and write conda env create -f scikitlearnenv.yaml.

3. Activate the new environment with conda activate ml.

See here for more detailed guide of steps 1-2, 5-7.

1. Create a new Python environment with conda create -n ml python=3.8.5 anaconda.

2. Activate the new environment with conda activate ml.

3. Navigate to directory containing the requirements.txt of this repository (here).

4. Write pip install -r requirements.txt.

5. Move onto the Installation of PyTorch section.