Machine-Learning

Repository to store my progress in Machine Learning field

Requirements

• Docker
• Web Browser (Firefox, Chrome, IE, etc...)

Steps to follow

1. Let's go through some memes

2. Docker container for Jupyter notebook

# Grab Docker image from Jupyter Docker repository
docker pull jupyter/all-spark-notebook

# Start container - Windows
docker run -d -P --name jupyter-notebook -v D:\data-science:/home/jovyan/work jupyter/all-spark-notebook

# Start container - Linux
docker run -d -P --name jupyter-notebook -v ~/data-science:/home/jovyan/work jupyter/all-spark-notebook

# Obtain the random host port assigned to the container
docker port jupyter-notebook 8888

# Obtain Jupyter notebook token
docker logs --tail 3 jupyter-notebook

3. Access Jupyter notebook

Open web browser

Go to "http://localhost:<random host port>/?token=<token>"
Example: http://127.0.0.1:32773/?token=19625e70bd3f90a2bcd9519620a55ea3703bdede0a48d277

4. Destroy container

# Stop container
docker stop jupyter-notebook

# Remove the container
docker rm jupyter-notebook

References

Dot Graph Viewer

Kaggle

Machine Learning Dataset Archive