100% Discount || Machine Learning : A Beginner’s Basic Introduction

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    Machine Learning : A Beginner’s Basic Introduction

    You should be able to use a PC at beginner level
    Basic knowledge of Python would help but not mandatory
    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 estimation—one of the most common types of machine learning algorithms—can 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 learning
    Supervised versus Unsupervised learning
    Machine learning frameworks
    Machine learning using Python and scikit-learn
    Loading sample dataset
    Making predictions based on dataset
    Setting up the development environment
    Building a simple home value estimator
    The examples in this course are basic but should give you a solid understanding of the power of machine learning and how it works.

    Who this course is for:
    Absolute beginners to Machine Learning

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