ML Lab VTU

Appropriate Problems For Decision Tree Learning

What are appropriate problems for Decision tree learning? Although a variety of decision tree learning methods have been developed with somewhat differing capabilities and requirements, decision tree learning is generally best suited to problems with the following characteristics: 1. Instances are represented by attribute-value pairs. “Instances are described by a fixed set of attributes (e.g., …

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Decision Tree Representation in Machine Learning

What are decision tree and decision tree learning? Explain the representation of the decision tree with an example. Decision Trees is one of the most widely used Classification Algorithm Features of Decision Tree Learning Method for approximating discrete-valued functions (including boolean) Learned functions are represented as decision trees (or if-then-else rules) Expressive hypotheses space, including …

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18CSL76 Artificial Intelligence Machine Learning Laboratory

18CSL76 Artificial Intelligence and Machine Learning Laboratory – VTU AIML Lab and Theory 18CS71 Artificial Intelligence and Machine Learning Laboratory – 18CSL76 (VTU AIML Lab) covers the different algorithms such as A* Search, A** Search, Find-S algorithms, Candidate elimination algorithm, Decision tree (ID3) algorithm, Artificial Neural Networks, Backpropagation Algorithm, Naïve Bayes classifier for text classification, …

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Backpropagation Algorithm Machine Learning

Backpropagation Algorithm – Machine Learning – Artificial Neural Network In this tutorial i will discuss the Backpropagation Algorithm and its implementation in Python. Video Tutorial on Backpropagation Algorithm BACKPROPAGATION (training_example, ƞ, nin, nout, nhidden) Each training example is a pair of the form (𝑥, 𝑡), where (𝑥) is the vector of network input values, and …

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Locally Weighted Regression Algorithm in Python

Python Program to Implement the Locally Weighted Regression Algorithm Exp. No. 10.   Implement the non-parametric Locally Weighted Regression algorithm in Python in order to fit data points. Select the appropriate data set for your experiment and draw graphs. Locally Weighted Regression Algorithm Regression: Regression is a technique from statistics that are used to predict values …

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