Your Instructor


Ahmed Mohamed Abd Ellatief
Ahmed Mohamed Abd Ellatief

Deep learning engineer with 5 years experience in multinational companies

Trained 787 AI engineers and data scientists all over the world

Helped in making 35 graduation projects related to AI and data science

Helped in preparing 7 master degree researches related to AI and data analysis

Active contributer in 7 projects in Europe,UK,UE, Saudi Arabia,Etc.

Spreading the word of AI and data analysis throw his social media appearance with 14000 learmers from all over the world

www.fb.com/aigalaxy

www.fb.com/ahmedabdellatief7550

www.twitter.com/ML_town


Course Description

In this course we will talk about Machine Learning technology, which is considered an essential and very large part of the techniques of Artificial Intelligence and Data Analysis.

We'll learn how to make preparation for the data so that it remains ready in advance so that it covers all the problems that may be present in the data.

We will learn what is Data Limitation, and how we can deal with it.

We will learn how to build our own Models.

We will learn how to build Models in a very simple way.

How do we keep these Models advanced through research and specific techniques, so that we can deliver the best possible tool.

We will learn how to do evaluation of our Model in order to make improvement to improve Model performance.

Optimization can be converted from the data preparation stage up to the Modeling stage itself

We'll learn how to do model publishing so that it is easy to use in companies or real life.

The course will be project-based, and we will work on it with realistic projects, and we will use realistic data, and we will see what are the real problems.

The most important point is that how you can achieve the stage of excellent project performance on the real life.

We will work on specialized projects in engineering and medicine fields, as well as general projects for Artificial Intelligence techniques and Data Analysis in general.

Prerequisite

There are no prerequisites so if you are a beginner in the field of Data Analysis and Artificial Intelligence this is one of the best training courses that you start with

Target Audience

All interested in Data Science and Artificial Intelligence

Course Curriculum


  Introduction
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  Chapter 8
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  Chapter 9
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  Chapter 10
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  Basic Models
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  Advanced Models
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  Polynomial Regression
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  KNN
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  Support Vector Machine
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  Gradient Search
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  Preparation
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Get Started Now!