Machine Learning with Python! Train, Test, Split for Evaluating Models

Publié le: 19 mai 2022
sur la chaîne: Adrian Dolinay

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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...

GitHub repo containing the notebook under "Machine Learning with Python" - https://github.com/ad17171717/YouTube...

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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

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