Machine Learning Fundamentals

Master the foundational concepts of machine learning with this comprehensive course designed for beginners and intermediate learners. This course provides a solid understanding of ML algorithms, statistical concepts, and practical implementation using Python.

What You'll Learn:

• Supervised and unsupervised learning algorithms
• Data preprocessing and feature engineering
• Model evaluation and validation techniques
• Regression, classification, and clustering methods
• Real-world project implementation
• Python libraries: scikit-learn, pandas, numpy

Course Details:

• Duration: 8 weeks
• 45+ video lectures
• 15 hands-on projects
• Lifetime access
• Certificate of completion