You’ve probably heard about how machine learning is shaping our world—from facial recognition to package delivery, from speech recognition to product recommendations. But how do you get started in this exciting field? In this course, Data Science with Python: Foundations of Machine Learning, you’ll gain the ability to solve business problems using Python. First, you’ll explore how to identify and frame various types of machine learning problems. Next, you’ll discover how to train a machine learning model, using prepared data. Finally, you’ll learn how to evaluate the performance of a machine learning model using various evaluation metrics. When you’re finished with this course, you’ll have the skills and knowledge of the machine learning process to effectively build, train, and evaluate your own models using Python.
Author Name: Amber Israelsen
Author Description:
Amber has been a software developer and technical trainer for over two decades, sharing her expertise in AI, machine learning, AWS, and Power Apps with students around the world. She has a knack for making complex tech topics easy to grasp, whether you’re a developer, designer, or business professional. Amber holds certifications in machine learning, AWS, and various Microsoft technologies, including her experience as a former Microsoft Certified Trainer. With a strong background in visual com… more