Machine Learning Use Cases

Disclaimer: All of the data are either totally public or made up, it turns out they are not for any commercial purpose.

• Here you can find nice notebooks with machine learning use cases built on turicreate 0.11.0
• There is also available the notebooks used on machine learning course of ITAM Data Sciene
• Turicreate is the new version of graphlab create library, in the meantime certain modules as shows or any visualization are only available on macOS, to know more here

Usage

Install Docker then go to your shell and verify is well installed docker -h

Clone this repository

git clone https://github.com/pedrohserrano/machine-learning-use-cases.git && \
cd machine-learning-use-cases/

Build the Docker image

docker build -t ml/turicreate .

Run the container

docker run -it -p 8888:8888 -v "$PWD":/home/jovyan --name=turi ml/turicreate

Note: When you run the container the notebook is going to be activated, so you have to access the link is pop up on the console

http://0.0.0.0:8888/?token=<SOME-RANDOM-TOKEN-SHOWED-IN-CONSOLE>

To exit the container simply exit the kernel (after save your results) ctrl + c then to activate the container again

docker start -ai turi

Optional

It's possible to run a complete environment with different kernels, more info here, note that this environment does not content turicreate.

docker run -it -p 8888:8888 -v "$PWD":/home/jovyan --name=jupyterlab jupyter/datascience-notebook start.sh jupyter lab

License