Загрузка страницы

Machine Learning Project - 6. Tune & Improve - ML model - ML Workflow #machinelearning #datascience

For those who value their time. Short version (176s) of Video Tutorial 🚀 Machine Learning Project - 6. Tune and Improve - ML model; Hyperparameters | Practice & Theory. This video tutorial shows how to improve model predictions through experiments (Hyperparameter Tuning).

🌟 Improve model predictions through experiments,
🌟 Manual hyperparameter tuning,
🌟 Hyperparameter tuning using: RandomizedSearchCV and GridSearchCV,
🌟 Covered with theory and practical coding examples using pandas and scikit-learn.

Happy Coding!

It can be used as a standalone video tutorial or as a part of bigger picture of Machine Learning Workflow - https://machinelearningmaverick.com/2024/12/13/scikit-learn-machine-learning-models-in-python-workflow-introduction/

More useful content can be found on my YouTube Channel https://www.youtube.com/@MachineLearningMaverick and on my blog https://machinelearningmaverick.com/

#ml #machinelearning #jupyter #jupyternotebook #python #pandas #scikitlearn #datascience #machinelearningengineer #tune #improve #randomizedsearchcv #gridsearchcv #hyperparameters #manually #corssvalidation #randomforest #randomforestregressor #machinelearningmaverick

Видео Machine Learning Project - 6. Tune & Improve - ML model - ML Workflow #machinelearning #datascience канала Machine Learning Maverick
Страницу в закладки Мои закладки
Все заметки Новая заметка Страницу в заметки