Machine Learning: A Beginner’s Basic Introduction | Data Science Online Course by Udemy

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Machine Learning: A Beginner’s Basic Introduction

Machine learning relates to many different ideas, programming languages, frameworks. Machine learning is difficult to define in just a sentence or two. But essentially, machine learning is giving a computer the ability to write its own rules or algorithms and learn about new things, on its own. In this course, we’ll explore some basic machine learning concepts and load data to make predictions. Value estimationone of the most common types of machine learning algorithmscan automatically estimate values by looking at related information. For example, a website can determine how much a house is worth based on the property’s location and characteristics. In this course, we will use machine learning to build a value estimation system that can deduce the value of a home. Although the tool we will build in this course focuses on real estate, you can use the same approach to solve any kind of value estimation. What you’ll learn include: Basic concepts in machine learningSupervised versus Unsupervised learningMachine learning frameworksMachine learning using Python and scikit-learnLoading sample datasetMaking predictions based on datasetSetting up the development environmentBuilding a simple home value estimatorThe examples in this course are basic but should give you a solid understanding of the power of machine learning and how it works.

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