ะ ะตั าะฐัะฐะปะดั 68
๐๐ซ๐ข๐๐๐๐๐ซ๐๐ก๐๐ is a function that comes with Scikit-Learn library and it is a process for tuning hyperparameters in machine learning models. The performance of a machine learning model significantly depends on the selection of hyperparameters. ๐๐ซ๐ข๐๐๐๐๐ซ๐๐ก๐๐ loops through a predefined set of hyperparameters and selects the optimal values from them after exhaustively considering all parameter combinations.
๐๐ถ๐๐๐๐ฏ ๐ฎ๐ฑ๐ฑ๐ฟ๐ฒ๐๐: github.com/ran...
๐๐บ๐ฝ๐ผ๐ฟ๐๐ฎ๐ป๐ ๐๐ถ๐บ๐ฒ๐๐๐ฎ๐บ๐ฝ๐:
01:09 - Import required libraries
02:48 - Load ๐๐๐ซ๐ฅ๐ฒ_๐ฌ๐ญ๐๐ ๐_๐๐ข๐๐๐๐ญ๐๐ฌ_๐ซ๐ข๐ฌ๐ค_๐ฉ๐ซ๐๐๐ข๐๐ญ๐ข๐จ๐ง dataset
05:40 - Perform preprocessing
07:42 - Separate features and classes
08:35 - Apply ๐๐ซ๐ข๐๐๐๐๐ซ๐๐ก๐๐ in ๐๐๐ง๐๐จ๐ฆ ๐
๐จ๐ซ๐๐ฌ๐ญ ๐๐ฅ๐๐ฌ๐ฌ๐ข๐๐ข๐๐ซ
15:10 - Apply ๐๐ซ๐ข๐๐๐๐๐ซ๐๐ก๐๐ in ๐๐ฑ๐ญ๐ซ๐ ๐๐ซ๐๐๐ฌ ๐๐ฅ๐๐ฌ๐ฌ๐ข๐๐ข๐๐ซ
17:59 - Apply ๐๐ซ๐ข๐๐๐๐๐ซ๐๐ก๐๐ in ๐๐ซ๐๐๐ข๐๐ง๐ญ ๐๐จ๐จ๐ฌ๐ญ๐ข๐ง๐ ๐๐ฅ๐๐ฌ๐ฌ๐ข๐๐ข๐๐ซ
20:50 - Apply ๐๐ซ๐ข๐๐๐๐๐ซ๐๐ก๐๐ in all the models
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