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 Linear Regression And Predictions The Work is going on this document once completed you will be informed  for more contact: viyogi.lalit786@gmail.com

 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 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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 Insertion Sort The sorting of the array is very important in array implementation. So now, we will understand the insertion sort in a very easy way. The idea to implement:  Take a number from the array Compare it with left numbers:                    if the left number is bigger:                                   move the left number to the right                    else                                   place the number  Array = {78,89,45,23,10} Array = { 89,82,63,54,32,23} I hope you will understand the sorting if not try doing it by using a pen and paper and still stuck and comment down..

 Books for Beginners/Mediocre: 1. Machine Learning -Tom Thomas Mitchell Download Book 2.  Machine Learning: A Probabilistic Perspective Download Book