Uma BStatisticsIntroduction to Statistics: Statistics is the science of collecting, organizing, and analyzing data. By using stats we are analyzing the…Feb 20, 2022Feb 20, 2022
Uma BRegularization in Machine LearningSometimes what happens is that our machine learning models will perform very well on the training data but not on the testing data. The…Dec 20, 2021Dec 20, 2021
Uma BCurse of dimensionality in machine learningCurse of Dimensionality refers to a set of problems that arise when working with high-dimensional data. The dimension of a dataset is…Dec 9, 2021Dec 9, 2021
Uma BRandom forest machine learning algorithmThe Random forest can be used for classification and regression problems. Random forest will work based on bootstrap sampling. This is the…Dec 9, 2021Dec 9, 2021
Uma BK-Means Clustering Machine Learning AlgorithmThis is an unsupervised machine learning algorithm. In unsupervised we don't have any target to be predicted. By using similarities of…Dec 7, 2021Dec 7, 2021
Uma BSVM(Support vector machine learning)SVM is a supervised and non-parametric machine learning algorithm that is used for classification and regression problems. But it is mostly…Dec 3, 2021Dec 3, 2021
Uma BNeural Networks in Machine learningThe neural network is a machine learning algorithm which we use for classification and regression problems. It will mimic the human brain.Dec 1, 2021Dec 1, 2021
Uma BNaïve Bayes Classifier AlgorithmThe Naive Bayes algorithm is a supervised learning algorithm that is used to solve classification problems. This will work based on the…Nov 27, 2021Nov 27, 2021
Uma BDecision Trees in Machine LearningThe decision tree is a supervised and non-parametric machine learning algorithm, which will be work based on decisions at each node. This…Nov 26, 2021Nov 26, 2021
Uma BEnsemble Methods in Machine Learning.There are 3 types of ensemble methods are there in Machine learning.Nov 17, 20211Nov 17, 20211