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/MG2023/tree/main/Video%2081 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