Introduction to Machine Learning in PHP

Learn to Build Different Machine Learning Models Easily

Created by : Rated :4.5 717 views

Last Updated: 2023-07-27 05:07:43 English Course Type: Self Learning

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

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

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

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

Section 1 : Introduction 3 Lectures 00:12:51
Lecture 1 :
Trailer Preview
Lecture 2 :
Code Editor
Lecture 3 :
Introduction to Machine Learning in PHP
Section 2 : Get Started 3 Lectures 00:22:19
Lecture 1 :
Prepare Your Environment
Lecture 2 :
Build Your First Model Step By Step
Lecture 3 :
Download the Data
Section 3 : Supervised Learning 4 Lectures 00:17:43
Lecture 1 :
Regression
Lecture 2 :
Read More (optional)
Lecture 3 :
Classification
Lecture 4 :
Read More (Optional)
Section 4 : Unsupervised Learning 2 Lectures 00:12:20
Lecture 1 :
Clustering
Lecture 2 :
Read More (Optional)
Section 5 : Advanced Topics 1 Lectures 00:04:42
Lecture 1 :
Model Persistency
Section 6 : Final Words 1 Lectures 00:03:17
Lecture 1 :
Is PHP Good for Machine Learning
Section 7 : What's Next 1 Lectures
Lecture 1 :
Next Steps

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Amir Kamizi,

9438 Course Views

2 Courses

Many years of work in creative industries such as cinema and animation has helped me in my work in computer programming. Combining the creative vision needed for art, with the structured and algorithmic thinking needed for computer programming has made me a good problem solver. Also, the nature of technology, which requires constant learning, fits my character as a learning enthusiast, and this makes me eager to work and advance in computer programming.