Join for Regular Updates Write a python program to read a string with five characters that start with ‘a’ and end with ‘z’ Problem Definition: Write a program that reads a string with five characters that starts with ‘a’ and ends with ‘z’. Print search successful if pattern match found. Video Tutorial Source Code …
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Python program to count the number of words, digits, uppercase letters, and lowercase letters Problem Definition: Develop a Python program that accepts a sentence and find the number of words, digits, uppercase letters, and lowercase letters. Video Tutorial Source Code to Python program to count the number of words, digits, uppercase letters, and lowercase …
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Python program to call function collatz() to return number//2 or 3*number+1 until it returns 1 Problem Definition: Develop a python program to create a function called collatz() which reads as a parameter named number. If the number is even it should print and return number//2 and if the number is odd then it should …
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KNN Solved Example to predict Sugar of Diabetic Patient given BMI and Age Apply K nearest neighbor classifier to predict the diabetic patient with the given features BMI, Age. If the training examples are, BMI Age Sugar 33.6 50 1 26.6 30 O 23.4 40 O 43.1 67 O 35.3 23 1 35.9 67 …
Solution to 18CS71 Artificial Intelligence and Machine Learning (AIML) Model Question Paper MODULE-1 1. a. Define Artificial Intelligence and list the task domains of Artificial Intelligence. (10 Marks) b. State and explain the algorithm for Best First Search Algorithm with an example. (10 Marks) OR 2. a. A Water Jug Problem: You are given …
Download 2018 Scheme 7 Sem CSE Model Question Papers Here you can download the model question papers of the 2018 Scheme 7th semester Computer Science and Engineering (CSE) VTU CBCS Notes. Branch: Computer Science and Engineering Scheme: 2018 CBCS Type of Material: Model Question Papers 2018 scheme VTU 7th semester VTU Notes Core Subjects …
Explain the concepts of Entropy and Information Gain in Decision Tree Learning. While constructing a decision tree, the very first question to be answered is, Which Attribute Is the Best Classifier? The central choice in the ID3 algorithm is selecting which attribute to test at each node in the tree. We would like to …
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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: Video Tutorial 1. Instances are represented by attribute-value pairs. “Instances are described by a fixed set of attributes …
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, …
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Perspectives and Issues in Machine Learning Following are the list of issues in machine learning: 1. What algorithms exist for learning general target functions from specific training examples? In what settings will particular algorithms converge to the desired function, given sufficient training data? Which algorithms perform best for which types of problems and representations? …
