Machine Learning Fundamentals

Course Overview

Dive deep into the foundations of machine learning with this comprehensive course designed for beginners and intermediate learners. You'll explore supervised learning techniques including linear regression, logistic regression, decision trees, and ensemble methods. Master unsupervised learning with clustering algorithms, dimensionality reduction, and anomaly detection.

What You'll Learn

• Core machine learning concepts and algorithms
• Supervised learning: regression and classification
• Unsupervised learning: clustering and dimensionality reduction
• Model evaluation and validation techniques
• Feature engineering and data preprocessing
• Hands-on projects with real-world datasets

Course Details

• 45 hours of content
• 180+ video lectures
• 25 coding exercises
• 5 real-world projects
• Certificate of completion
• Lifetime access