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...
GitHub repo containing the notebook under "Machine Learning with Python" - https://github.com/ad17171717/YouTube...
CONNECT:
LinkedIn: / adrian-dolinay-frm-96a289106
GitHub: https://github.com/ad17171717
Twitter: / dolinayg
Odysee: https://odysee.com/@adriandolinay:0
Medium: / adriandolinay
|-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
In questa pagina del sito puoi guardare il video online Machine Learning with Python! Train, Test, Split for Evaluating Models della durata di ore minuti seconda in buona qualità , che l'utente ha caricato Adrian Dolinay 19 maggio 2022, condividi il link con amici e conoscenti, su youtube questo video è già stato visto 4,138 volte e gli è piaciuto 43 spettatori. Buona visione!
