Introduction to Machine Learning in PHP

Learn to Build Different Machine Learning Models Easily

Free tutorial

4.7

Created by AMIR KAMIZI

English

What you’ll learn

• You Will Learn how to implement some of the most common machine learning algorithms in PHP
• You will Learn about the some of the common algorithms like classification, regression, clustering
• You will learn about Supervised and Unsupervised learning
• You will NOT learn the details and mathmatics of each algorithm. Our focus is mainly on implementing them in PHP
• You will Learn about the steps to build a machine learning model
• You will Learn how to divide your data to training set and test set
• You will Learn how to train your machine learning model
• You will Learn how to make prdictions
• You will learn about the persistency of your model

Requirements

• Basic knowledge of Machine learning is a plus because we are not going though the details of each algorithm and our main focus is on the implementation in PHP

Description

WHY Machine Learning

Machine learning is a rapidly growing field that is changing the way technology and solving complex problems.

Machine learning is widely used in industries such as healthcare, finance, marketing, and self-driving cars to automate processes, improve decision making, and provide personalized experiences to customers.

The amount of data generated by society is continually growing, further increasing the demand for skilled machine learning practitioners.

Learning machine learning provides valuable skills for a career in technology and data science.

The demand for machine learning talent is growing at a rapid pace, with the number of job postings for machine learning roles increasing by over 75% in the past 5 years.

WHY PHP

PHP is used in more than 70 percent of the websites across the Internet. That’s HUGE!

PHP is more alive than ever! It’s simple yet very powerful. It’s secure. It’s scalable.It’s very easy to learn.

Just to get an idea of how powerful PHP is, Websites like Facebook, Wikipedia, Slack, MailChimp, Flickr, SourceForge, Tumblr, Etsy and Yahoo have PHP as their core.

oh and not to forget, the biggest blogging system on the web (WordPress), is powered by PHP.

enough teasing let’s get started with Machine Learning in PHP.

In this course:

• You Will Learn how to implement some of the most common machine learning algorithms in PHP
• You will Learn about the some of the common algorithms like classification, regression, clustering
• You will learn about Supervised and Unsupervised learning
• You will NOT learn the details and mathmatics of each algorithm. Our focus is mainly on implementing them in PHP
• You will Learn about the steps to build a machine learning model
• You will Learn how to divide your data to training set and test set
• You will Learn how to train your machine learning model
• You will Learn how to make prdictions
• You will learn about the persistency of your model
• and a lot more

Prior Knowledge

Basic knowledge of Machine learning is a plus because we are not going though the details of each algorithm and our main focus is on the implementation in PHP

Basic Knowledge about PHP is a plus.

This Course is for:

• PHP Developers who want to start their journey in Machine Learning
• Developers who are familiar with Machine Learning and want to learn how to implement them in PHP
• Curious to learn about Machine Learning

If this is you, then what are you waiting for?! Let’s get Started

Who this course is for:

• PHP Developers who want to start their journey in Machine Learning
• Developers who are familiar with Machine Learning and want to learn how to implement them in PHP
• Curious to learn about Machine Learning

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Course content

7 sections • 15 lectures • 1h 14m total lengthCollapse all sections

Introduction2 lectures • 13min

• Introduction01:05
• Introduction to Machine Learning in PHP11:46

Get Started3 lectures • 22min

• Prepare your environment02:13
• Download the Data00:04
• Build your first model step by step20:06

Supervised Learning4 lectures • 18min

• Regression09:09
• Read More (Optional)00:13
• Classification08:34
• Read More (Optional)00:11

Unsupervised Learning2 lectures • 13min

• Clustering12:20
• Read More (Optional)00:12

Advanced Topics1 lecture • 5min

• Model Persistency04:42

Final Words1 lecture • 3min

• Is PHP Good for Machine Learning03:17

What’s Next2 lectures • 1min

• Next Steps00:21
• Review00:16

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