Titlebook: Network Data Analytics; A Hands-On Approach K. G. Srinivasa,Siddesh G. M.,Srinidhi H. Book 2018 Springer International Publishing AG 2018

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Regressionnce of a variable on the other set of variables in the dataset. It involves two types of variables namely dependent and independent variables. Regression analysis is used for the applications like forecasting performance in cars, predicting the profit in stocks and others. In this chapter, an overvi

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Classificationd learning technique, wherein a classifier assigns label or class to a set of data points based on the data that are classified with labels. The process of classification starts with a training set of labeled data and assigned classes and these are used to predict the class of unknown data points or

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Advanced Analytics with TensorFlowced analytical applications and machine learning-based classification models cannot be used. Advanced classification models include neural networks as the basis for analytics. Neural networks consist of input, hidden layers, and the output. TensorFlow is one of the analytical tools that help in deve

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