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Common Machine Learning Models

Self-Paced Learning
25 Hours
Beginner

This course will likely be rather lecture heavy with short implementation exercises. Since users should already be familiar with python & be able to work with datasets.

$ 0.00
Self-Paced

Course overview

About this Course:

This course explores the core concepts of machine learning, the models available, and how to train them. We will take a deeper look at what it means to train a machine learning model, as well as the data and methods required to do so. We will also provide an overview of the most common models you’re likely to encounter and take a practical approach to understand when and how to use them to solve business problems.

In the second half of this course, you will be guided through a series of case studies that will show you how to apply the concepts covered in this course to real-life examples.

Course Objectives:

  • Understand the key concepts and models related to machine learning.
  • Learn how to use training data sets with machine learning models.
  • Learn how to choose the best machine learning model to suit your requirements.
  • Understand how machine learning concepts can be applied to real-world scenarios in property prices, health, animal classification, and marketing activities.

Audience:

This course is intended for anyone who is:

  • Interested in understanding machine learning models on a deeper level.
  • Looking to enrich their understanding of machine learning and how to use it to solve complex problems.
  • Looking to build a foundation for continued learning in the machine learning space and data science in general.

Prerequisites:

To get the most out of this course, you should have a general understanding of data concepts as well as some familiarity with cloud providers and their managed services, especially Amazon or Google. Some experience in data or development is preferable but not essential.

Outline

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25 Hours
Beginner
Self-Paced Learning

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This course will likely be rather lecture heavy with short implementation exercises. Since users should already be familiar with python & be able to work with datasets.

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Meet some of our Coaches

Bekim Dauti

Microsoft Certified Trainer

Bekim Dauti works in the administration of servers and computer networks and training in Cisco, CompTIA, and Microsoft. He has a bachelor's degree from the University of Tirana and a master's degree from UMGC Europe, both in IT.

Sudhanshu Pandey

Software Engineer

Sudhanshu is Redhat Certified and a Computer Science graduate. He has worked on multiple technologies including Devops, ML, Python, Redhat Linux, MySQL, MongoDB, Cloud Computing, web development and mobile app development. He is currently working as an ML engineer for a startup and as a trainer on a content delivery team for Linuxworld.

Zaki Medina

CTO in Healthcare

Zaki has many years of experience in the Telecom, Utility and Healthcare industries leading data science, analytics and technical teams with an advanced understanding of data engineering, data science, ML-Ops and Responsible AI technologies and the appropriate application of these technologies to solve problems at a massive scale.

William Clark

CompTIA Instructor and Consultant

William Clark is the founder and CEO of Clark Technology Group. For 30 years he has worked in networking and cybersecurity in retail, health care, government, military and manufacturing sectors.​

Khalil Demeri​

Cloud Solutions Architect

Khaleel has many years of experience in servers administration on Linux and Windows platforms, managing 4000+ servers running different flavors of Linux and web hosting control panels. He helps the team to deal with Windows (MCSE) and Linux Server related issues and services administration. Install, configure and integrate system/solution/OS at site and remotely.

Saurabh Khan​

Cloud Coach

Saurabh is an enthusiastic instructor and accomplished Cloud Engineer. With a solid background in architecting cloud solutions and hands-on experience in configuring and deploying applications on leading cloud platforms like Azure, GCP, and AWS, Saurabh possesses a wealth of knowledge to share with learners.

John Morah

Azure Architect

John is an experienced instructor and highly skilled Cloud Architect who brings a wealth of technical expertise to the table. With a career that began in January 2001, John has been fixing computers and providing technical training and support on Microsoft and Google technologies for over two decades.

Uchechukwu Cos-Ibe

GCP Cloud Engineer

Uchechukwu Cos-Ibe is a highly skilled and GCP-certified Cloud Engineer with a strong background in deploying and managing cloud infrastructure. With expertise in automating cloud deployments using Terraform and implementing CI/CD pipelines. Uchechukwu's experience as a Database Administrator and Data Science professional further enhances their ability to provide valuable insights and optimize cloud solutions.

Dickson Victor

Devops Engineer

Dickson is a DevOps Engineer with multi-cloud certifications and experience working with AWS, Google cloud and Microsoft Azure. He is an AWS community builder, Microsoft Certified trainer, AWS Accredited Instructor and technical writer.

Arjun Sasikumar

Cloud Architect

Arjun has 10+ years of IT experience. Currently working as a Google Cloud Consultant in a Multi-National Company. He is holding certifications in Google Cloud Digital Leader , Google Cloud Associate Cloud Engineer and Google Cloud Professional Cloud Architect.

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