GayathriBACK PROPAGATION ALGORITHMBackpropagation is the essence of neural network training. It is the method of fine-tuning the weights of a neural network based on the…Dec 15, 2022Dec 15, 2022
GayathriL1 & L2 NORMSIn my last post, I covered the introduction to Regularization in supervised learning models. In this post, let’s go over some of the…Nov 3, 2022Nov 3, 2022
GayathriGradient Descent is known as one of the most commonly used optimization algorithms to train…In mathematical terminology, Optimization algorithm refers to the task of minimizing/maximizing an objective function f(x) parameterized…Nov 3, 2022Nov 3, 2022
GayathriGIVEN A BINARY SEARCH TREE, BT, WRITE CODE TO COUNT THE LEAVESA node is a leaf node if both left and right child nodes of it are NULL. Here is an algorithm to get the leaf node count.Nov 3, 2022Nov 3, 2022
GayathriBackpropagation is the essence of neural network training.Backpropagation in neural network is a short form for “backward propagation of errors.” It is a standard method of training artificial…Nov 3, 20221Nov 3, 20221
GayathriNAIVE BAYIES CLASSIFIER:-This article discusses the theory behind the Naive Bayes classifiers and their implementation.Jul 14, 2022Jul 14, 2022
GayathriROW SAMPLINGThe Row Sampling transformation is used to obtain a randomly selected subset of an input dataset. You can specify the exact size of the…Jul 14, 2022Jul 14, 2022
GayathriSEABORN PLOTSMatplotlib has proven to be an incredibly useful and popular visualization tool, but even avid users will admit it often leaves much to be…Jul 13, 2022Jul 13, 2022