kodestree provides Introduction to Machine Learning course designed for beginners who want to understand the core concepts of Machine Learning before moving to advanced topics. This course covers the fundamentals of Machine Learning, including how machines learn from data, different types of learning methods, and real-world applications across industries.
Prerequisites
- Basic computer knowledge
- Basic understanding of mathematics (algebra and statistics)
- Basic programming knowledge (preferred but not mandatory)
What You Will Learn
- Understand the fundamentals of Machine Learning
- Differentiate between AI, Machine Learning, and Deep Learning
- Types of Machine Learning (Supervised, Unsupervised, Reinforcement)
- Understand the complete Machine Learning workflow
- Learn key concepts like features, labels, overfitting, underfitting, bias, and variance
- Overview of common Machine Learning algorithms
- Build and evaluate a basic Machine Learning model using Python tools
