BlogHide Resteemsmlconcepts (25)in machinelearning • 2 years agoDecimal Scaling - Another Data Normalization Technique?Decimal scaling is a preprocessing technique used in machine learning to scale the values of input features. This technique aims to bring the deals of the features within a certain range, typically…mlconcepts (25)in datasciencedata • 2 years agoUsing K-Fold Cross Validation in Machine LearningFirst of all, what is cross-validation? Cross-validation is one of the most commonly used techniques used to test the performance of an AI model. It is a resampling technique used to assess a…mlconcepts (25)in datascience • 2 years agoMin-Max NormalizationOne of the most important transformations you need to apply to your data is feature scaling. With few exceptions, Machine Learning algorithms don’t perform well when the input numerical attributes…mlconcepts (25)in data • 2 years agoOverfitting and Underfitting in Machine LearningIntroduction A common danger in Machine learning is overfitting, producing a model that performs well on training data, but that generalizes very poorly on new data or test data or we can say…mlconcepts (25)in data • 2 years agoZ-Score NormalizationWhat is Normalization? Let’s first understand here actually what is meant by data normalization and then we will come to the topic of Z score Normalization. So normalization is just a feature…
