Machine Learning with Python! Train, Test, Split for Evaluating Models
Tutorial on how to split training and testing data using Python. Learn about the difference between training and testing data sets, create a train_test_split function from scratch and find the optimal proportion to allocate to a training data set.
Link to Mean Squared Error Tutorial: • Machine Learning with Python! Mean Squared...
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|-Video Chapters-|
0:00 - Intro
0:17 - Definition of training/testing data sets and data splitting
2:03 - Overview of data set
3:34 - Reading data into a pandas DataFrame
4:36 - Graphing the data
5:53 - Creating a train_test_split function from scratch
15:45 - Testing our train_test_split function against Scikit-learn's function
16:52 - Using random forest to model GPU prices
17:30 - Overfitting a model
23:20 - Underfitting a model
25:59 - Finding the optimal proportion to allocate to a training data set
33:42 - References and additional learning
En esta página del sitio puede ver el video en línea Machine Learning with Python! Train, Test, Split for Evaluating Models de Duración hora minuto segunda en buena calidad , que subió el usuario Adrian Dolinay 19 mayo 2022, comparta el enlace con amigos y conocidos, en youtube este video ya ha sido visto 4,138 veces y le gustó 43 a los espectadores. Disfruta viendo!
