# Machine Learning Projects

## ID3 Algorithm Decision Tree – Solved Example

Download Final Year Projects   [wptelegram-join-channel] 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 Credit rating Buys …

## What is Machine Learning? Components and Applications

Download Final Year Projects   [wptelegram-join-channel] 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. …

## Machine Learning Projects Video Tutorial

Download Final Year Projects   [wptelegram-join-channel] Machine Learning Projects Video Tutorial – Implementation in Python

## Soft Computing Video Tutorial

Download Final Year Projects   [wptelegram-join-channel] Soft Computing Video Tutorial – Solved Numerical Examples and Implementation in Python

## Artificial Intelligence Video Tutorial

Download Final Year Projects   [wptelegram-join-channel] Artificial Intelligence Video Tutorial – Solved Numerical Examples and Implementation in Python

## Principal Component Analysis Solved Example

Download Final Year Projects   [wptelegram-join-channel] 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 …

## Principal component analysis in Machine Learning

Download Final Year Projects   [wptelegram-join-channel] 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 …

## Dimensionality reduction in Machine Learning

Download Final Year Projects   [wptelegram-join-channel] 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 …

## Means-Ends Analysis Artificial Intelligence

Download Final Year Projects   [wptelegram-join-channel] Means-Ends Analysis Search Technique (Algorithm) – Artificial Intelligence In this tutorial, I will how to apply Means-Ends Analysis Search Technique (Algorithm) to solve the given problem. Video Tutorial – Means-Ends Analysis Means-Ends Analysis In Artificial Intelligence, we have studied many search strategies which traverse either in forward or backward …