Download Final Year Projects Join for Regular Updates ID3 Algorithm Decision Tree – Solved Example – Machine Learning Problem Definition: Build a decision tree using ID3 algorithm for the given training data in the table (Buy Computer data), and predict the class of the following new example: age<=30, income=medium, student=yes, credit-rating=fair age income student […]
Download Final Year Projects What is Machine Learning? Components and Applications of Machine Learning Definition of Machine Learning: Learning is any process by which a system improves performance from experience. A branch of artificial intelligence, concerned with the design and development of algorithms that allow computers to evolve behaviors based on empirical data. Definition
Download Final Year Projects Machine Learning Projects Video Tutorial – Implementation in Python
Download Final Year Projects Artificial Intelligence Video Tutorial – Solved Numerical Examples and Implementation in Python
Download Final Year Projects Principal Component Analysis Solved Example Principal component analysis (PCA) is a statistical procedure that uses an orthogonal transformation to convert a set of observations of possibly correlated variables into a set of values of linearly uncorrelated variables called principal components. In this article, I will discuss how to find the
Download Final Year Projects Introduction to Principal component analysis in Machine Learning Principal component analysis (PCA) is a statistical procedure that uses an orthogonal transformation to convert a set of observations of possibly correlated variables into a set of values of linearly uncorrelated variables called principal components. The number of principal components is less
Download Final Year Projects The complexity of any classification or regression algorithm depends on the number of inputs to the model. This determines the time and space complexity and the necessary number of training examples to train such a classification or regression algorithm. In this article, we discuss what is dimensionality reduction, how dimensionality
Download Final Year Projects 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.