Applied-ML

COMP 551 - Applied Machine Learning (Winter 2021)

Projects

1. KNN and Decision Tree on cancer data
2. Naive Bayes and Linear Regression on text data
3. Multilayer Perceptron on MNIST
4. YOLO: Unified, Real-Time Object Detection Reproducibility Challenge

To SSH onto the VM

1. Create your ssh public and private key.
2. Upload your public ssh key to GCP
3. ssh -i path_to_private_key [email protected]. The IP address of the VM is static.

NOTE: IP of VM changed since mini-project-3

Create virtual environment

Each mini-project has its own virtual environment

1. cd into the mini-project you want to work with
2. Create your virtualenv: python -m venv venv
3. source venv/bin/activate, you should see venv in front of your terminal prompt
4. Install project dependencies: pip install -r requirements.txt
5. If you installed new dependencies: pip freeze > requirements.txt

Note: Not needed for mini-project 4. We will use the conda base package from GCP Deep Learning VM

Running a task in background

1. nohup python script_name.py &
2. Close your terminal and go Zzzz