Machine Learning Exercises

This repository contains a series of exercises and projects related to machine learning. The exercises include practical implementations of various algorithms and techniques in clustering, neural networks, regression, SVMs, and satellite image classification.

Structure

• Clustering: Exercises on clustering algorithms.
• Neural Networks: Implementation of different neural network architectures.
• Regression: Various regression techniques applied to real-world data.
• SVM: Support Vector Machine (SVM) implementations with different kernels.
• Satellite Image Classification: Classifying satellite images using Convolutional Neural Networks (CNNs).