Datmo Tutorials

This repository is a running list of tutorials showcasing how Datmo helps users working with quantitative modeling projects (data science, machine learning, and artificial intelligence).

Prominent features addressed in the tutorials are as follows:

• Experiment logging

  • snapshot create - Record fully comprehensive project state as a single unit

• Project visualization

  • snapshot ls - View all snapshots in the project
  • snapshot diff - Compare differences/changes between two snapshots
  • snapshot inspect - See in-depth info about a single snapshot

• State recreation & reproducibility

  • snapshot checkout - Revert the project state to the version from a different snapshot
  • run - Run a containerized task for easy environment handling

• Environment Handling

  • environment setup - Use one of our preconfigured environments, or bring your own!
  • notebook - A streamlined way to spin up a Jupyter Notebook
  • rstudio - A streamlined way to spin up RStudio
  • jupyterlab - A streamlined way to spin up JupyterLab
  • terminal - A streamlined way to enter a terminal inside the container

For smaller examples with more isolated datmo feature demonstration, you can view the official core repository here.

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Tutorials

Python Tutorials

Project	Tags	Datmo Features
Kaggle Titanic Survivor Prediction (CLI / SDK in Jupyter Notebook)	AutoML, TPOT, SVM	notebook, snapshot create, snapshot ls
Face Recognition (CLI in Jupyter Notebook)	CV, dlib, face_recognition	notebook, snapshot create, snapshot ls
Keras Fashion MNIST (CLI in Jupyter Notebook)	CV, keras, tensorflow	notebook, snapshot create, snapshot ls
Kaggle Jigsaw Toxic Comment Identification (CLI in Jupyter Notebook)	NLP, capsule net, Keras	snapshot create, snapshot ls, env setup, notebook

R Tutorials

Project	Tags	Datmo Features
Kaggle Otto Product Classification (CLI via R Notebook)	grid search, XGBoost	snapshot create, snapshot ls