Learn the core concepts of Machine Learning, including supervised and unsupervised learning, model training, and evaluation. This course provides hands-on experience with Python libraries like Scikit-learn and NumPy.
Section 1: Introduction to Machine Learning
Lesson 1: What is Machine Learning?
Lesson 2: Types of Machine Learning
Section 2: Supervised Learning
Lesson 1: Regression Models
Lesson 2: Classification Models
Section 3: Unsupervised Learning
Lesson 1: Clustering Algorithms
Lesson 2: Dimensionality Reduction
Section 4: Project
Lesson 1: Build a Predictive Model