This course immerses you in the basics of machine learning using a familiar and accessible programming language., Python.
In this grade, we will review two main components:
First, learn about the purpose of machine learning and where it applies to the real world.
Secondly, get an overview of machine learning topics, such as supervised or unsupervised learning, model evaluation and machine learning algorithms.
In this grade, you will practice with real life examples of machine learning and see how it affects society in ways you may not have guessed.
1) New skills to add to your resume, as regression, classification, grouping, sci-kit and SciPy learning
Just by spending a few hours a week for the next few weeks, this is what you will get:
2) New projects that you can add to your portfolio, including cancer screening, economic trend prediction, customer churn prediction, recommendation engines , and many more.
3) And a certificate in machine learning to prove your proficiency and share it anywhere you want online or offline, such as LinkedIn profiles and social networks.
If you choose to take this course and earn the Coursera course certificate, you will also earn an IBM digital badge upon successful completion of the course.
Access this course with the following link.