About the Course
This course provides an introduction to the fundamental concepts of machine learning. You will learn about the basic principles of supervised and unsupervised learning, as well as the different types of machine learning algorithms that are commonly used. You will start by learning about the key concepts of machine learning, including classification, regression, and clustering. You will learn how to prepare data for machine learning, including data cleaning, feature engineering, and data normalization.The course then moves on to unsupervised learning, which involves identifying patterns in data without labeled training data. You will learn about clustering algorithms, dimensionality reduction techniques, and anomaly detection methods.
By the end of this course, you will have a solid understanding of the basics of machine learning and be equipped with the skills to apply machine learning algorithms to real-world problems.