manueldiaz50 / sparkml

Spark ML with pyspark

SparkML

Take your first steps with Spark ML and pyspark. Gain understanding of Spark ML with unique hands-on experience with Spark ML First steps course!

Getting started:

Make sure you have docker installed on your device.

1. Run docker

2. Run the next command:

   docker run -it -p 8888:8888 jupyter/pyspark-notebook

3. Clone this repo or download the zipped files - notebook.zip and detecting-twitter-bot-data.zip

4. Exctracte files and upload the Exercise, Solution and detecting-twitter-bot-data files into Jupyter.

5. Follow instructions and write your findings in chat!

Notes:

Exercise folder containes the exercise chapters. Solution folder containes the solution for the exercise.

It's recommend to have both in your Jupyter environment before course starts.

License:

This exercise is part of the O'Reilly Online Course: Spark ML First Steps produced and delivered by Adi Polak.

If you would like to use it not as part of the online course, please contact Adi Polak on Twitter.