Naïve Bayes Algorithm In Machine Learning
Machine learning will be an integral part of almost all systems in near future. There are lots of algorithms use
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Dimensionality Reduction Using Principal Component Analysis (PCA)
What is Dimensionality reduction? As the name suggests, dimensionality reduction is reducing higher dimensions to a lower number of dimensions.
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Finding the optimality of K-Nearest Neighbor classifier
What is K-Nearest Neighbor? K-Nearest Neighbor algorithm is one of many supervised machine learning algorithms. KNN has gained its popularity
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Generative Adversarial Networks (GAN)
Generative Adversarial Networks, also known as GAN in generative modelling using deep learning methods, such as convolutional neural networks. With
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Support Vector Machines(SVM)
Support Vector Machines (SVM) is a supervised learning algorithm capable of solving both classification and regression problems, Although it is
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Hands-On Guide For Beginner On Transfer Learning
#Disabling Weight Training for layer in vgg.layers: layer.trainable = F Transfer learning, the name itself depicts the transfer of knowledge
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Data Warehouse | Concept & Applications
When translational data is no longer of value to the operational environment, it is removed from the database. If a
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Naive Bayes Algorithm
Probability is the science of data mining. A Naïve Bayes classifier- a simple probability-based algorithm, use for the purpose of
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