Getting Started with Machine Learning in Python

In this 2 hr course, you'll get started with Machine Learning using Python. Learn practical skills to classify, predict, and cluster data, while focusing on building intuition for core ML concepts through hands-on exercises.

What I will be able to do after this course

• Understand the core concepts of machine learning and how they apply to data analysis.
• Clean and prepare datasets effectively for use in machine learning models.
• Perform supervised learning tasks such as regression and classification.
• Implement unsupervised learning techniques like clustering and segmentation.
• Apply Python-based tools to develop, test, and deploy machine learning models.

Course Instructor(s)

James Cross brings extensive experience in both software development and teaching. With a focus on making complex machine learning topics accessible, James combines practical examples with clear explanations. His approachable style ensures that learners of diverse backgrounds can feel confident in mastering ML concepts.

Who is it for?

This course is designed for developers and analysts who have basic coding experience and are interested in diving into machine learning. Ideal learners are familiar with Python and basic statistics and seek to transition from traditional rule-based programming to algorithms that learn autonomously. It's perfect for those aiming to enhance their skillset in data-driven decision-making and AI-driven applications.