Creating and managing Web sites Training Course

Using HTML to create Web pages

  • Inserting and formatting text on the website
    • The main elements of a web page text
    • The header and content of the page
    • The titles of sections
    • Separators
  • Placing images on the website
    • Graphic files: PNG, JPEG / JPG, GIF
  • Making calls on websites
    • Links / Hyperlinks
    • Insert Hyperlink
    • File sharing via the web
    • Automatic creation of an e-mail
    • Change the display of links
    • Using graphics as hyperlinks / link
  • Use tables to build websites
  • The development of the forms on the website
  • Develop a web page using frames

Use CSS to create web pages

  • Construction and structure of the style
  • Putting styles in the document
    • Settings for all parties (including font sizes and background color of the letter)
  • Define the font and text with styles
    • Formatting paragraphs and titles
    • Indentation, and line spacing
    • Centered and change the background color of titles
    • The use of small caps or caps
  • Defining color, background, spacing and margins by using styles
    • Borders and frames for various page elements
  • Defining the borders, scrollbars, and display using styles
  • Define positioning elements and units with styles
  • Defining tables and prints with styles
  • Defining selectors using classes and IDs

JavaScript

  • Introduction to JavaScript
    • History, implementations, versions
    • Embedding code in an HTML document
    • Syntax
    • Keywords and reserved
    • Variables
    • Data types
    • Operators
    • Control statements
    • Function
    • Memory management
  • Reference types
    • Types wrapper
    • Array
    • Date
    • RegExp
    • Math
    • Function
  • Object-Oriented Programming
    • Creating Objects
    • Inheritance
  • Anonymous functions
    • Recursion
    • Closures
    • Private elements
  • Browser Object Model
    • Objects: window, location, navigator, screen, history
    • Counters time
    • Detecting the type of customer
  • Document Object Model
    • Hierarchy DOM
    • Access and modify elements
  • Events
    • Types of events
    • Handling events
    • Propagation
    • The event object
    • Software generation of events
    • Memory and Performance
  • Service forms from JavaScript
  • Emergencies and debugging
    • Reporting and Exception Handling
    • Techniques and tools for debugging
    • Typical mistakes IE

PHP

  • PHP syntax
    • operators, variables
    • basic functions, File operations, strings and arrays
  • Data structures
    • associative arrays
    • session variables, form, url, cookie
  • Object-Oriented Programming in PHP
    • Classes, constructors, inheritance
    • Object-oriented features

Introduction to Machine Learning in PHP

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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