Explore graph, geospatial, time series, and genetic data inputs as new tabular data or JSON types - Githubissues

jim-schwoebel / allie

🤖 An automated machine learning framework for audio, text, image, video, or .CSV files (50+ featurizers and 15+ model trainers). Python 3.6 required.

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Explore graph, geospatial, time series, and genetic data inputs as new tabular data or JSON types #23

Open jim-schwoebel opened 4 years ago

jim-schwoebel commented 4 years ago

Graph data types (using networkx / Python) - https://coderzcolumn.com/tutorials/data-science/network-analysis-in-python-node-importance-and-paths-networkx and https://networkx.github.io/documentation/networkx-2.2/auto_examples/index.html
Geospatial data (table) - https://www.datacamp.com/community/tutorials/geospatial-data-python
Time series data (table) - https://www.machinelearningplus.com/time-series/time-series-analysis-python/ / https://dmbee.github.io/seglearn/auto_examples/plot_model_selection1.html
Genetic data (https://github.com/lucapinello/Haystack)

Convert CSV to Table data --> following this schema.