stefandominicus-takealot/indabax-2025

Recommender systems resources supporting a presentation and workshop at the Deep Learning IndabaX South Africa 2025 # indabax-2025 Supporting resources for a recommender systems workshop at the Deep Learning IndabaX South Africa 2025. ## Topic Recommender Systems at Takealot.com ## Presenter Stefan Dominicus (Senior Machine Learning Software Engineer at Takealot.com) # Getting Started To confirm that your environment is correctly configured, let's run though a very basic workflow. ```sh # Create a virtual environment VIRTUAL_ENVIRONMENT_NAME=indabax-2025 conda create -n $VIRTUAL_ENVIRONMENT_NAME -y python=3.10 conda activate $VIRTUAL_ENVIRONMENT_NAME # Install the required dependencies make install # Add a kernel from that environment DL_ANACONDA_ENV_HOME=$DL_ANACONDA_HOME/envs/$VIRTUAL_ENVIRONMENT_NAME python -m ipykernel install --prefix $DL_ANACONDA_ENV_HOME --name $VIRTUAL_ENVIRONMENT_NAME --display-name $VIRTUAL_ENVIRONMENT_NAME rm -rf /opt/conda/envs/$VIRTUAL_ENVIRONMENT_NAME/share/jupyter/kernels/python3 # Pull the dataset CSV files we'll be working with today python -m recommender_systems.pull_data ```