Machine Learning Foundations

Master the fundamentals of machine learning and data science with this comprehensive beginner course. Build your first ML models, work with real data, and create a solid foundation for advanced AI studies.

Course Overview

This foundational course introduces you to the exciting world of machine learning and data science. You’ll learn core concepts, practical skills, and build real projects that prepare you for advanced studies or a career in AI.

What You’ll Build

• Data Analysis Dashboard: Interactive dashboard with real-world data
• Prediction Models: Linear and logistic regression models for real problems
• Classification System: Decision tree model for automated decision making
• Complete ML Pipeline: End-to-end project from data collection to deployment

Prerequisites

This course is designed for beginners with basic programming knowledge and high school mathematics. No prior machine learning experience required.

Course Structure

Progress from fundamental concepts to practical applications, building real projects that demonstrate your ML skills to potential employers or for further studies.

Course Structure

The course combines theory with hands-on practice, ensuring you understand both concepts and practical implementation.