Machine Learning through Case Studies for Beginners

Are you a beginner looking to get started with Machine Learning? This course offers a gentle introduction to Machine Learning through real world case studies as you invent your first Machine Learning algorithm.

This course gives you a broad overview of the variety of Machine Learning models and provides a learning ladder to continue learning. It also presents applications that use Machine Learning and details a plethora of techniques that are used to evolve Machine Learning models from data.

This course presents data for a simple case study of classifying emails automatically. It provides the data set, identifies features ans labels and presents the intuition behind any Machine Learning algorithm. The course goes on to talk about both the (i) Supervised and (ii) Unsupervised learning models. It presents an analysis of over fitting and under fitting in models.

The course aims to motivate a beginner to get started with their Machine Learning journey. This course will be further supplemented with focused sessions on various regression, classification and clustering algorithms.

The subsequent sessions will get in to the Math behind the algorithm while solving a real world case study. Students who continue this course through the recommended ladder will eventually have the skills to build and deploy Machine Learning models to production.

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• 3 stars: 18 votes
• 4 stars: 49 votes
• 5 stars: 48 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!