(v2) pandas DataFrame output for scikit-learn transformers (some examples)

Speaker: scikit-learn maintainer Andreas Mueller Pandas DataFrame output is now available for all sklearn transformers (in dev)! This will make running pipelines on dataframes soo much easier, and provides better ways to track feature names! 🔥This is one of the biggest improvements in scikit-learn in a long time and we'd love your feedback! Please try out the nightly built and give it a go! We'd love to hear both about whether this helps your use cases and any bugs you find! - Jupyter notebook: https://github.com/scikit-learn/blog/blob/main/assets/notebooks/sklearn-pandas-df-output.ipynb - Example: https://scikit-learn.org/dev/auto_examples/miscellaneous/plot_set_output.html#sphx-glr-auto-examples-miscellaneous-plot-set-output-py - Installing the nightly build: http://scikit-learn.org/stable/developers/advanced_installation.html CONNECT WITH SCIKIT-LEARN ▔▔▔▔▔▔▔▔▔▔▔▔▔▔ Website: https://scikit-learn.org Twitter: https://twitter.com/scikit_learn LinkedIn: https://linkedin.com/company/scikit-learn Facebook: https://facebook.com/scikitlearnofficial #scikitlearn #opensource #machinelearning #python