cross validation techniques in machine learning | hyperparameter optimization series part4

what is cross-validation, and why should you care about it and what are the different cross validation techniques available in machine learning ? In the realm of data-driven decision-making, it's important to recognize the challenges that arise when working with limited data. One such challenge is the dilemma of partitioning data into training and validation sets, which can significantly impact the outcomes and generalization of machine learning models. The results can even be influenced by the random selection of these sets, leading to potential bias. However, there's a powerful solution to this problem known as cross-validation, often abbreviated as CV. Cross-validation redefines how we approach model training and validation, allowing us to harness the full potential of our data without the constraints of arbitrary set selections. In the following minutes, we'll break it down into simple terms and show you the different cross validation techniques that are available 00:00 what is cross validation 00:40 cross validation for model evaluation 02:34 cross validation for model hyperparameter tuning 04:21 Hold-out cross-validation. 05:04 K-fold cross-validation. 07:30 Leave-one-out cross-validation 12:24 Stratified k-fold cross-validation. #machinelearningintamil #machinelearning #hyperparametertuning #artificialintelligenceintamil #pythonintamil #MachineLearningValidation #HyperparameterTuning #DataValidationTechniques #MLHyperparameters #ModelValidation #OptimizingMachineLearning #ValidationDatasetTips #HyperparameterTuningMethods #TamilMachineLearning #DataScienceTamil #TamilAI #MLTipsandTricks #TamilDataScience #MachineLearningInTamil #ModelOptimization #machinelearning, #linearregression ,#machinelearningintamil, #machine learning basics in tamil, #types of machine learning in tamil, #machine learning tutorial, #machine learning algorithms, #what is machine learning, #machine learning tools in tamil, #machinelearningcours tamil Hold-out cross-validation, K-fold cross-validation, Leave-one-out cross-validation, Stratified k-fold cross-validation. machine learning,machine learning in tamil,machine learning tamil,machine learning tutorial,tamil,machine learning algorithms,machine learning tutorial for beginners,machine learning tutorial in tamil,what is machine learning,machine learning course,machine learning projects,machine learning course tamil,machine learning python tamil,machine learning basics in tamil,machine learning vs deep learning tamil,machine learning python #machinelearning,#machinelearningintamil,#machinelearningtamil,#machinelearningtutorial,#tamil,#machinelearningalgorithms,#machinelearningtutorialforbeginners,#machinelearningtutorialintamil,#whatismachinelearning,#machinelearningcourse,#machinelearningprojects,#machinelearningcoursetamil,#machinelearningpythontamil,#machinelearningbasicsintamil,#machinelearningvsdeeplearningtamil,#machinelearningpython #machinelearning #machinelearningintamil #hyperparametertuning #crossvalidation