Inspired by
- https://towardsdatascience.com/machine-learning-with-pyspark-and-mllib-solving-a-binary-classification-problem-96396065d2aa
- https://realpython.com/pyspark-intro/
Link to slides: https://docs.google.com/presentation/d/1Xisy6RWwCnCBwIByU3y5lAQRFikR6H2ttVeakP-qk20/edit#slide=id.gaca0c42d8f_0_1
In this workshop, we cover the simple machine learning problem trying to classify members of the Titanic ship between alive or dead.
The focus of the workshop is learning the technologies surrounding the machine learning, specifically Docker and PySpark.
To run the Docker image run docker build -t pysparkv2 . in the same directory as the dockerfile
You can then run docker run -it -p 8888:8888 --name py pysparkv2 to run the image
To stop the container run docker stop py
To start the container run docker start -i py