Machine Learning with Python - A Beginner's Guide

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Machine Learning with Python - A Beginner's Guide

.MP4 | Video: 1280x720, 30 fps® | Audio: AAC, 48000 Hz, 2ch | 1.50 GB

Duration: 4 hours | Genre: eLearning | Language: English

 

Learn the basics of machine learning and implement linear regression using gradient descent and normal equation.

 

Basics of Machine learning

 

Linear Regression

 

Basic Python

 

Learn the basics of machine learning and implement linear regression using gradient descent and normal equation.

What you'll learn

Basics of Machine learning

Types of machine learning algorithms

Linear Regression

Requirements

Basic Python

Basic Mathematical operations on matrix

Spyder IDE, Python, SKlearn installed in the computer.

Description

You will the basics of machine learning like what is machine learning, machine learning algorithms, and implement linear regression using normal equation and gradient descent.

You will learn the difference between regression and classification.

When to use regression and when to use classification.

You will implement the linear regression using python.

You need to have some knowledge of writing python code using Spyder IDE.

Who this course is for:

Beginner to Machine Learning

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