Introduction to Machine Learning in PHP
- Development
- Jan 18, 2025

Introduction to Machine Learning in PHP, available at Free, has an average rating of 4.5, with 16 lectures, based on 42 reviews, and has 3033 subscribers.
You will learn about 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 This course is ideal for individuals who are PHP Developers who want to start their journey in Machine Learning or Developers who are familiar with Machine Learning and want to learn how to implement them in PHP or Curious to learn about Machine Learning It is particularly useful for PHP Developers who want to start their journey in Machine Learning or Developers who are familiar with Machine Learning and want to learn how to implement them in PHP or Curious to learn about Machine Learning.
Enroll now: Introduction to Machine Learning in PHP
Summary
Title: Introduction to Machine Learning in PHP
Price: Free
Average Rating: 4.5
Number of Lectures: 16
Number of Published Lectures: 16
Number of Curriculum Items: 16
Number of Published Curriculum Objects: 16
Original Price: Free
Quality Status: approved
Status: Live
What You Will Learn
Who Should Attend
Target Audiences
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 simpleyet 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
Course Curriculum
Chapter 1: Introduction
Lecture 1: Introduction
Lecture 2: Introduction to Machine Learning in PHP
Chapter 2: Get Started
Lecture 1: Prepare your environment
Lecture 2: Download the Data
Lecture 3: Build your first model step by step
Chapter 3: Supervised Learning
Lecture 1: Regression
Lecture 2: Read More (Optional)
Lecture 3: Classification
Lecture 4: Read More (Optional)
Chapter 4: Unsupervised Learning
Lecture 1: Clustering
Lecture 2: Read More (Optional)
Chapter 5: Advanced Topics
Lecture 1: Model Persistency
Chapter 6: Final Words
Lecture 1: Is PHP Good for Machine Learning
Chapter 7: Whats Next
Lecture 1: Next Steps
Lecture 2: Review
Chapter 8: Bonus Lecture
Lecture 1: Special Offer For Students
Instructors

AMIR KAMIZI
Computer programmer
Rating Distribution
Frequently Asked Questions
How long do I have access to the course materials?
You can view and review the lecture materials indefinitely, like an on-demand channel.
Can I take my courses with me wherever I go?
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!
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