Training a Support Vector Machine (SVM) involves guiding the algorithm to find the best boundary, or hyperplane, that separates data into distinct classes. This process is rooted in the concept
Training a Support Vector Machine (SVM) involves guiding the algorithm to find the best boundary, or hyperplane, that separates data into distinct classes. This process is rooted in the concept
Spam detection is a common classification problem. We can build a model to identify spam emails. This guide outlines the steps using Python. We will use Scikit-learn for machine learning.
House price prediction is a practical application. Regression models are well-suited for this task. We aim to predict a continuous value. That value is the house price. This guide explains
Image classification is a core computer vision task. Convolutional Neural Networks (CNNs) excel at this. CNNs automatically learn visual features. This guide explains building an image classifier. We will use