Free Course Image Machine Learning tutorial

Free online courseMachine Learning tutorial

Duration of the online course: 10 hours and 20 minutes

New course

Learn Machine Learning with Great Learning's free online course for beginners, covering essential concepts in Artificial Intelligence and Information Technology.

In this free course, learn about

  • Foundations of Machine Learning and Data Visualization

Course Description

Welcome to the "Machine Learning Tutorial" course. This meticulously crafted program spans 10 hours and 20 minutes, offering an immersive journey into the fascinating world of Machine Learning (ML). As part of the Information Technology category and the Artificial Intelligence subcategory, this course is designed to serve as a comprehensive introduction to the foundational concepts and practical applications of Machine Learning, making it an ideal starting point for beginners in 2023.

Embark on this educational adventure where you'll unravel the mysteries of Machine Learning, a field that is revolutionizing industries and driving innovation across the globe. This tutorial is structured to provide a robust understanding of the basics, ensuring that even those with no prior exposure to ML can easily follow along and grasp the core principles.

Through this tutorial, you will learn about the essential algorithms that serve as the backbone of Machine Learning. These algorithms are demystified with clear explanations and practical examples, enabling you to understand how they work and how to implement them in real-world scenarios. You will explore both supervised and unsupervised learning techniques, gaining insights into their distinct approaches and applications.

Additionally, the course delves into the vital aspects of data preparation and preprocessing, which are crucial steps in any Machine Learning project. You will learn how to clean and transform data, ensuring that it is in the best possible shape for building effective models. The tutorial also covers key evaluation metrics, helping you assess the performance and accuracy of your models competently.

Throughout the course, practical exercises and hands-on projects are integrated to reinforce learning, allowing you to apply the theoretical knowledge in a realistic context. By working on these practical examples, you will gain confidence in your ability to tackle ML problems and develop solutions.

Although this course is currently without reviews, its meticulously crafted content promises to deliver a significant and beneficial learning experience. The engaging teaching style and clear, concise explanations are tailored to cater to beginners, ensuring that complex topics are simplified and made accessible.

Whether you're looking to enhance your skill set, pivot into a career in Artificial Intelligence, or simply curious about the field of Machine Learning, this tutorial is your gateway to understanding one of the most transformative technologies of our time. Embark on your learning journey with this comprehensive guide and take the first step towards mastering Machine Learning.

Begin your exploration into Machine Learning today with the "Machine Learning Tutorial for Beginners - 2023" and unlock the potential to innovate and excel in the rapidly evolving landscape of Information Technology and Artificial Intelligence.

Course content

  • Video class: Machine Learning Tutorial for Beginners - 2023 10h20m
  • Exercise: Which library can be used to directly load datasets for visualization?
  • Exercise: What is the purpose of a Box plot in data visualization?
  • Exercise: What is the primary purpose of using a box plot in data visualization?
  • Exercise: How can you create a donut chart using Seaborn and Matplotlib?
  • Exercise: How do you create a scatter plot to display the relationship between two numerical attributes using seaborn library in Python?
  • Exercise: What is a box plot used for in data visualization?

This free course includes:

10 hours and 20 minutes of online video course

Digital certificate of course completion (Free)

Exercises to train your knowledge

100% free, from content to certificate

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