tensorflow-sandbox

numpy
pandas
sklearn
tf2

General structure of an ML pipeline

data gathering (sampling),
EDA (data, outliers, relations)
preprocessing
split (sampling)
model (fit, predict, hyper-tune)
- regression
- classification
- clustering
evaluation

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