Data Science with Python: Foundations of Machine Learning
Offered By: Pluralsight
Course Description
Overview
Machine learning is one of the hottest fields in the world today. This course will teach you how to get started solving business problems using Python.
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.
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.
Syllabus
- Course Overview 1min
- Understanding Machine Learning Basics 31mins
- Evaluating Machine Learning Models 7mins
Taught by
Amber Israelsen
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