nahumsa / mlops-zoomcamp

MLOps Zoomcamp

In this repository, I will put all the exercises for the MLOps Zoomcamp.

Requirements are on requirements.txt file.

01 - Intro

For the intro we will be using the NYC taxi dataset.

02 - Experiment Tracking

For the intro we will be using the NYC taxi dataset for Green Taxi trip, from January through March 2021.

You can run the preprocessing using:

bash preprocess_data.sh

You can start the mlflow server using:

bash launch_mlflow_server.sh

After the data is preprocessed and the mlflow server is running you only need to run:

bash train_and_register.sh

03 - Orchestation

Again, I will be using the NYC taxi dataset. In this section I will use prefect.

You can see the prefect UI using: prefect orion start

You can deploy using: prefect deployment create 03-orchestration/homework.py

04 - Deployment