Welcome to the Machine Learning Course! This README provides an overview of the course, its objectives, prerequisites, and resources.

• Course Description
• Prerequisites
• Course Content

This Machine Learning course is designed to provide a comprehensive introduction to the field of machine learning, covering both theory and practical implementation. Whether you are a beginner or have some prior experience in machine learning, this course will help you build a solid foundation and gain hands-on experience in developing machine learning models.

To make the most of this course, it's recommended that you have a basic understanding of the following:

• Programming fundamentals (e.g., Python)
• Mathematics (linear algebra, calculus, probability, and statistics)

• Feature Extraction
• Regression
• Classification
• Quiz 1 (On a private repository)
• Ensemble Learning
• Clustering
• Midterm Test (On a private repository)
• Perceptron & ANN