Task 2 Video Explanation Video
Clustering Of Data The Work is going on this document once completed you will be informed for more contact: viyogi.lalit786@gmail.com
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Linear regression https://www.javatpoint.com/linear-regression-in-machine-learning https://www.mygreatlearning.com/blog/linear-regression-in-machine-learning/ Cross-Validation https://www.mygreatlearning.com/blog/cross-validation/ https://www.javatpoint.com/cross-validation-in-machine-learning KNN algorithm https://www.mygreatlearning.com/blog/knn-algorithm-introduction/ https://machinelearningmastery.com/k-nearest-neighbors-for-machine-learning/
Logistic Discriminant Analysis
Logistic Discriminant Analysis Feature extraction is one of the most important problems in pattern recognition. Linear discriminant analysis (LDA) is one of the well-known methods to extract the best features for multi-class discrimination. LDA is formulated as a problem to find an optimal linear mapping by which the within-class scatter in the mapped feature space is made as small as possible relative to the between-class scatter. LDA is useful for linear separable cases, but for more complicated cases, it is necessary to extend it to non-linear. ---------------------------------------------------------------------------------------------------------------------------- Prerequisite : · Bayesian Decision Theory · Multi-Variate Linear Algebra · Numerical Computations -----------------------------------------...
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