Machine Learning A Beginner's Basic Introduction

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Machine Learning : A Beginner's Basic Introduction

.MP4 | Video: 1280x720, 30 fps® | Audio: AAC, 44100 Hz, 2ch | 118 MB

Duration: 2 hours | Genre: eLearning Video | Language: English

 

Learn Machine Learning Basics with a Practical Example

 

What you'll learn

 

Install environment to test Machine learning

Understand basic machine learning vocabulary

Exposure to Machine Learning Frameworks

Understand Supervised Machine Learning

Create a basic home estimator calculator

Load a Dataset

Make Predictions from dataset

 

Requirements

 

You should be able to use a PC at beginner level

Basic knowledge of Python would help but not mandatory

 

Description

 

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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