Mastodawn

Ever wondered why dropping rows with NaNs can hurt your model? Our latest open‑source guide walks through a Pandas & Scikit‑learn workflow, showing how to spot missing target vs. predictor attributes, decide when to drop or impute, and keep your DataFrame clean for reliable machine‑learning results. Dive in to master the trade‑offs! #Pandas #ScikitLearn #MissingValues #Impute

🔗 https://aidailypost.com/news/first-pandas-scikitlearn-project-drops-rows-missing-values

Mathew Thomas Jul 11, 2024

#ChrisEspinosa
#Apple's #longestserving #employee
His reasons for Apple's #success :
1. #Empathy : know your customer, know what they want.
2. #Focus : do fewer things better.
3. #Impute : always carry value in everything you do.
https://www.livemint.com/news/trends/chris-espinosa-meet-apple-longest-serving-employee-from-steve-jobs-garage-at-14-years-old-to-tim-cook-technology-giant/amp-11720499352296.html

New Submissions to TMLR Aug 9, 2023

RIFLE: Imputation and Robust Inference from Low Order Marginals

https://openreview.net/forum?id=oud7Ny0KQy

#imputation #impute #missforest

RIFLE: Imputation and Robust Inference from Low Order Marginals

The ubiquity of missing values in real-world datasets poses a challenge for statistical inference and can prevent similar datasets from being analyzed in the same study, precluding many existing...

OpenReview