Regression Trees and Classification Trees in Machine Learning

In 1959, Arthur Samuel, an engineer at IBM, coined the term "Machine Learning" and introduced the world to a game-changing concept. Building upon that legacy, this course, "Regression Trees and Classification Trees in Machine Learning", intricately weaves the art and science of Machine Learning. It prepares you to tread the path once walked by pioneers and turn data into wisdom, with emphasis on Regression Trees and Classification Trees.

Learning Outcomes

• Develop a strong understanding of Regression and Classification Trees in the field of Machine Learning.
• Learn to work with different predictors and navigate the Minitab statistical software.
• Gain insights into Binary Logistics Regression and how it plays a crucial role in Machine Learning.
• Master the skills of data cleaning and understand its significance in the Machine Learning process.
• Develop competencies in creating data models and predicting outcomes using Machine Learning.
• Learn to measure the success of Machine Learning models.

Begin your expedition into the world of Machine Learning with a comprehensive introduction, grounding you in the basics. Machine Learningcourse then navigates the nuances of Regression, elucidating the role of predictors and familiarising you with the powerful statistical software, Minitab. By the time you reach the heart of the course—Regression Trees and Classification Trees in Machine Learning—you'll have a robust understanding of the landscape.

As you delve deeper, you will master Binary Logistics Regression and the creation of Classification Trees. The course gives significant importance to data cleaning—a fundamental process that ensures the quality and reliability of your Machine Learning models. You'll learn how to mould raw data into structured data models and measure the success of your Machine Learning predictions. With a blend of theory and practical exercises, this course is a stepping stone towards mastering Machine Learning.

• Data Science enthusiasts seeking to gain a deeper understanding of Machine Learning.
• Machine Learning practitioners aiming to enhance their knowledge in Regression and Classification Trees.
• Software Engineers looking to broaden their skills in Machine Learning.
• Students majoring in Computer Science, particularly those interested in Machine Learning.
• Statisticians who want to incorporate Machine Learning techniques into their work.
• Professionals who handle large datasets and are keen on leveraging Machine Learning for data analysis.

• Machine Learning Engineer: Salary range in the UK: £40,000 - £80,000 per year.
• Data Scientist: Salary range in the UK: £35,000 - £75,000 per year.
• Data Analyst: Salary range in the UK: £25,000 - £50,000 per year.
• Software Developer: Salary range in the UK: £25,000 - £60,000 per year.
• Research Scientist: Salary range in the UK: £30,000 - £60,000 per year.

Certificate of completion - Digital certificate

Digital certificate - Included

Certificate of completion - Hard copy certificate

Hard copy certificate - £9.99