Collaborative Data Science with Ploomber
The did you upload the latest data version yet? nightmare Data pipelines are multi-stage processes. Whether you are …
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Rethinking Continuous Integration for Data Science
Prelude: Software development practice in Data Science As Data Science and Machine learning get wider industry adoption, …
Robust Jupyter report generation using static analysis
Jupyter notebooks are a great format for generating data analysis reports since they can contain rich output such as …
Setting up reproducible Python environments for Data Science
Setting up a Python environment for Data Science is hard. Throughout my projects, I’ve experienced a recurring …
Model selection with scikit-learn and ploomber
Model selection is an important part of any Machine Learning task. Since each model encodes their own inductive bias, it …
Developing custom scikit-learn transformers and estimators
scikit-learn offers a wide range of Machine Learning models, but it goes way beyond that by providing other tools such …