Hands-On Projects for Mastering AI and ML in HTML
In the realm of Artificial Intelligence (AI) and Machine Learning (ML), practical hands-on projects play a crucial role in honing your skills. This blog post will outline several AI and ML projects that you can implement using HTML, without relying on CSS styles. Let’s dive into these projects!
Project 1: Simple Linear Regression
Linear regression is a fundamental machine learning algorithm used for predicting a continuous outcome variable based on one or more predictor variables. Here’s a simple example of a linear regression project implemented in HTML:
<!DOCTYPE html> <html lang="en"> <head> <meta charset="UTF-8"> <title>Simple Linear Regression</title> </head> <body> <h1>Simple Linear Regression Example</h1> <h2>Input Data</h2> <table border="1"> <tr> <th>Input</th> <th>Output</th> </tr> <tr> <td>1</td> <td>2</td> </tr> <tr> <td>2</td> <td>4</td> </tr> <tr> <td>3</td> <td>5</td> </tr> </table> <h2>Prediction</h2> <p>Slope: </p> <p>Intercept: </p> <p>Prediction for X = 4: </p> <script src="linear_regression.js"></script> </body> </html>
To complete this project, you’ll need to create a JavaScript file named ‘linear_regression.js’ that performs linear regression calculations based on the input data provided in the HTML file and displays the results.
Project 2: K-Nearest Neighbors (KNN) Classifier
K-Nearest Neighbors (KNN) is a simple, instance-based learning algorithm that is used for both classification and regression problems. Here’s an example of a KNN classifier project implemented in HTML:
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<title>KNN Classifier Example</title>
</head><body>
<h1>KNN Classifier Example</h1><h2>Input Data</h2>
<table border="1">
<tr>
<th>Feature 1</th>
<th>Feature 2</th>
<th>Class</th>
</tr>
<