GridSearchCV using Scikit-Learn
𝐆𝐫𝐢𝐝𝐒𝐞𝐚𝐫𝐜𝐡𝐂𝐕 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. 𝐆𝐫𝐢𝐝𝐒𝐞𝐚𝐫𝐜𝐡𝐂𝐕 loops through a predefined set of hyperparameters and selects the optimal values from them after exhaustively considering all parameter combinations.
𝗚𝗶𝘁𝗛𝘂𝗯 𝗮𝗱𝗱𝗿𝗲𝘀𝘀: https://github.com/randomaccess2023/M...
𝗜𝗺𝗽𝗼𝗿𝘁𝗮𝗻𝘁 𝘁𝗶𝗺𝗲𝘀𝘁𝗮𝗺𝗽𝘀:
01:09 - Import required libraries
02:48 - Load 𝐞𝐚𝐫𝐥𝐲_𝐬𝐭𝐚𝐠𝐞_𝐝𝐢𝐚𝐛𝐞𝐭𝐞𝐬_𝐫𝐢𝐬𝐤_𝐩𝐫𝐞𝐝𝐢𝐜𝐭𝐢𝐨𝐧 dataset
05:40 - Perform preprocessing
07:42 - Separate features and classes
08:35 - Apply 𝐆𝐫𝐢𝐝𝐒𝐞𝐚𝐫𝐜𝐡𝐂𝐕 in 𝐑𝐚𝐧𝐝𝐨𝐦 𝐅𝐨𝐫𝐞𝐬𝐭 𝐂𝐥𝐚𝐬𝐬𝐢𝐟𝐢𝐞𝐫
15:10 - Apply 𝐆𝐫𝐢𝐝𝐒𝐞𝐚𝐫𝐜𝐡𝐂𝐕 in 𝐄𝐱𝐭𝐫𝐚 𝐓𝐫𝐞𝐞𝐬 𝐂𝐥𝐚𝐬𝐬𝐢𝐟𝐢𝐞𝐫
17:59 - Apply 𝐆𝐫𝐢𝐝𝐒𝐞𝐚𝐫𝐜𝐡𝐂𝐕 in 𝐆𝐫𝐚𝐝𝐢𝐞𝐧𝐭 𝐁𝐨𝐨𝐬𝐭𝐢𝐧𝐠 𝐂𝐥𝐚𝐬𝐬𝐢𝐟𝐢𝐞𝐫
20:50 - Apply 𝐆𝐫𝐢𝐝𝐒𝐞𝐚𝐫𝐜𝐡𝐂𝐕 in all the models
#sklearn #scikitlearn #datascience #jupyternotebook #machinelearning #gridsearchcv #hyperparametertuning #python #pythonprogramming
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