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Here are some Data Science-related projects that I develop and use daily:

• 🌿 trava an interface for training & evaluating classic ML models. Get your data, pick a model, say which metrics you want to log/track/plot, use fit-predict magic, and boom: get the results. Out-of-the-box integration with MLFlow makes this tool extremely useful in my daily workflow.
• 🗄️ df-and-order an interface for reading tabular data and applying reproducible declarative transformations. Once a transformation is in git, give the reader its identifier and get the data right back.