Course Overview

Hi. My name is Jerry Kurata, and welcome to my course, Understanding Machine Learning with Python. These days, machine learning is all around us from helping doctors diagnose patients to assisting us in driving our cars. As we go about our day, we may be utilizing machine learning applications and not even realize it. It silently scans our email inbox for spam emails and ensures that stores are stocked with the goods we want to buy when we need them. This course will introduce you to machine learning and the technology behind it. You will see why companies are in such a rush to use machine learning to grow their business and increase profits. You will learn how developers and data scientists use machine learning to predict events based on data. Specifically, you will learn how to format a problem to be solvable, where to get the data, and how to combine that data with algorithms to create models that can predict the future. Throughout this course, we'll utilize Python and a number of its libraries to make creating machine learning solutions easy. However, you do not need prior experience with Python. In this course, we learn by doing, and the code we will use will be explained as we create our solution. By the end of this course, you will know the how, when, and why of building a machine learning solution with Python. You will have the skills you need to transform one‑line problem statement into a tested prediction model that solves the problem. I look forward to you joining me on this journey of Understanding Machine Learning with Python from Pluralsight.