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categories: Technology & Innovation

Technology

Hands on Machine Learning

Duration: 4 h 30 m / 36 lessons

Level: General

Course Language: Arabic

By the end of this course, you will be able to

  • Understand the principles of AI and its advanced applications, and learn the basics of the Python programming language and use it to develop solutions to artificial intelligence problems.

  • Identify how to collect and organize the required data through the Pandas and Numpy libraries, then analyze this data and build insights from it.

  • Understand how to write clean Python code, and you'll also learn a variety of machine learning algorithms such as deep neural networks.

  • Evaluate the performance of AI models and analyze the results. You will be able to create and deploy a complete AI project.

Course details

  • 4 h 30 m/36 lessons
  • Last updated: 24/3/2024
  • 8 learning resources
  • Course completion certificate

Course Content

Free lessons

1.

Project Deployment

10 Minutes
2.

What Is Artificial Intelligence Part1

11 Minutes
learning resources
3.

Preproccessing Part 2

4 Minutes
4.

PANDAS Part 1

5 Minutes
1.

Introduction to the course

6 Minutes
learning resources
1.

What Is Artificial Intelligence Part1

11 Minutes
learning resources
2.

What Is Artificial Intelligence Part2

3 Minutes
learning resources
1.

Introduction to Python Programming

6 Minutes
2.

Python Programming Part 1

11 Minutes
3.

Python Programming Part 2

15 Minutes
4.

Python Programming Part 3

12 Minutes
1.

Lists

10 Minutes
learning resources
2.

Dictionaries

3 Minutes
3.

Tuples & Sets

3 Minutes
4.

NUMPY

15 Minutes
5.

Matplotlib

6 Minutes
6.

PANDAS Part 1

5 Minutes
7.

PANDAS Part 2

10 Minutes
8.

Stats for Machine Learning

5 Minutes
learning resources
1.

Introduction to Machine Learning

4 Minutes
learning resources
2.

Regression Theory

5 Minutes
3.

Regression Practical

26 Minutes
learning resources
4.

Poly Theory

3 Minutes
5.

Poly Practical

4 Minutes
6.

KNN Theory

1 Minutes
7.

KNN Practical

2 Minutes
1.

Intro to SKLearn

1 Minutes
2.

Preprocessing Part 1

15 Minutes
3.

Preproccessing Part 2

4 Minutes
1.

Classification Practice Part 1

5 Minutes
2.

Classification Practice Part 2

4 Minutes
3.

Classification Practice Part 3

4 Minutes
1.

Clustering Theory

10 Minutes
2.

Clustering Practice

5 Minutes
1.

Difference between DL & ML

1 Minutes
learning resources
2.

Deep Learning Theory Part 1

14 Minutes
3.

Deep Learning Theory Part 2

4 Minutes
4.

Deep Learning Practice

7 Minutes
1.

Project Deployment

10 Minutes
1.

Wrap up

2 Minutes

About this course

In a rapidly advancing tech world, grasping artificial intelligence (AI) and machine learning (ML) is paramount. This course is pivotal in unraveling this realm, exploring modern technologies and algorithms underpinning AI's ubiquity. Starting with AI basics, we'll unveil how computers emulate human intelligence. Transitioning to Python programming, the cornerstone of ML development, you'll adeptly code and implement algorithms. Learn data aggregation techniques crucial for training intelligent models. Delve into diverse ML algorithms, including deep neural networks, honing your skill to select and deploy apt algorithms for varied tasks. But the thrill doesn't end there – embark on crafting a full-fledged AI project. Join us now to embark on this journey into a world teeming with challenges and opportunities.

Course requirements and prerequisites

There are no requirements for this course. Your interest in the topic and your commitment to learning are all you need to achieve the utmost benefit from this course.

Mentor

Hands on Machine Learning

Duration: 4h 30m / 36 lessons
Level: General
Course Language: Arabic
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