- Machine Learning Regression
- Machine Learning Classification
- Machine Learning
- Unsupervised Learning
- Exploratory Data Analysis
- Artificial Intelligence (AI)
- Feature Engineering
- Statistical Hypothesis Testing
- Regression Analysis
- Supervised Learning
- Linear Regression
- Ridge Regression
IBM Introduction to Machine Learning Specialization
Learn machine learning through real use cases. Build the skills for a career in one of the most relevant fields of modern AI through hands-on projects and curriculum from IBM’s experts.
What you will learn
Understand the potential applications of machine learning
Gain technical skills like SQL, machine learning modelling, supervised and unsupervised learning, regression, and classification.
Identify opportunities to leverage machine learning in your organization or career
Communicate findings from your machine learning projects to experts and non-experts
Skills you will gain
About this Specialization
Applied Learning Project
In this program, you’ll complete hands-on projects designed to develop your analytical and machine learning skills. You’ll also produce a summary of your insights from each project using data analysis skills, in a similar way as you would in a professional setting, including producing a final presentation to communicate insights to fellow machine learning practitioners, stakeholders, C-suite executives, and chief data officers.
You are highly encouraged to compile your completed projects into an online portfolio that showcases the skills learned in this Specialization.
How the Specialization Works
A Coursera Specialization is a series of courses that helps you master a skill. To begin, enroll in the Specialization directly, or review its courses and choose the one you'd like to start with. When you subscribe to a course that is part of a Specialization, you’re automatically subscribed to the full Specialization. It’s okay to complete just one course — you can pause your learning or end your subscription at any time. Visit your learner dashboard to track your course enrollments and your progress.
Every Specialization includes a hands-on project. You'll need to successfully finish the project(s) to complete the Specialization and earn your certificate. If the Specialization includes a separate course for the hands-on project, you'll need to finish each of the other courses before you can start it.
Earn a Certificate
When you finish every course and complete the hands-on project, you'll earn a Certificate that you can share with prospective employers and your professional network.
There are 4 Courses in this Specialization
Exploratory Data Analysis for Machine Learning
Supervised Machine Learning: Regression
Supervised Machine Learning: Classification
Unsupervised Machine Learning
Frequently Asked Questions
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What is machine learning?
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More questions? Visit the Learner Help Center.