Cost-sensitive learning in scikit-learn
If your dataset has significant class imbalance, the "cost" may differ between the two types of prediction errors. In this lesson, you’ll learn how to use cost-sensitive learning to adjust the model to better match your priorities.
P.S. This is a lesson from my NEW course, "Master Machine Learning with scikit-learn." You can enroll here: https://courses.dataschool.io/master-machine-learning-with-scikit-learn
For all paid courses, I offer location-based discounts (up to 75%) to people in 160+ countries. Check your discount here: https://courses.dataschool.io/discounts
Enroll in a FREE Data Science course here: https://courses.dataschool.io/free-courses
Видео Cost-sensitive learning in scikit-learn канала Data School
P.S. This is a lesson from my NEW course, "Master Machine Learning with scikit-learn." You can enroll here: https://courses.dataschool.io/master-machine-learning-with-scikit-learn
For all paid courses, I offer location-based discounts (up to 75%) to people in 160+ countries. Check your discount here: https://courses.dataschool.io/discounts
Enroll in a FREE Data Science course here: https://courses.dataschool.io/free-courses
Видео Cost-sensitive learning in scikit-learn канала Data School
Показать
Комментарии отсутствуют
Информация о видео
Другие видео канала
Examine the intermediate steps in a PipelineDrop the first category from binary features (only) with OneHotEncoderCourse outline: "Master Machine Learning with scikit-learn"Join Data School Insiders on Patreon!Load a toy dataset into a DataFrameHow to read the scikit-learn documentationHistGradientBoostingClassifier natively supports missing valuesShuffle your dataset when using cross_val_scoreAdd a missing indicator to encode "missingness" as a featureThree reasons not to use drop='first' with OneHotEncoderDon't use .values when passing a pandas object to scikit-learnEstimators only print parameters that have been changedAdditional Resources for Learning Git and GitHubWhat's your favorite pandas trick??Most parameters should be passed as keyword argumentsPassthrough some columns and drop others in a ColumnTransformerTune the parameters of a VotingClassifer or VotingRegressorMachine Learning with Text in scikit-learn (PyData DC 2016)How do I avoid a SettingWithCopyWarning in pandas?Seven ways to select columns using ColumnTransformer