Machine Learning with Python

Machine Learning with Python

This course dives into the basics of machine learning using an approachable, and well-known programming language, Python.

In this course, we will be reviewing two main components: First, you will be learning about the purpose of Machine Learning and where it applies to the real world. Second, you will get a general overview of Machine Learning topics such as supervised vs unsupervised learning, model evaluation, and Machine Learning algorithms. In this course, you practice with real-life examples of Machine learning and see how it affects society in ways you may not have guessed! By just putting in a few hours a week for the next few weeks, this is what you’ll get.

1) New skills to add to your resume, such as regression, classification, clustering, sci-kit learn and SciPy

2) New projects that you can add to your portfolio, including cancer detection, predicting economic trends, predicting customer churn, recommendation engines, and many more.

3) And a certificate in machine learning to prove your competency, and share it anywhere you like online or offline, such as LinkedIn profiles and social media. 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.

After completing course  and complete the hands-on project, you’ll earn a Certificate.

Course Rating : 4.7

Instructors : SAEED AGHABOZORGI , Joseph Santarcangelo.

Offered By : IBM

Can I download Machine Learning with Python course?

You can download videos for offline viewing in the Android/iOS app. When course instructors enable the downloading feature for lectures of the course, then it can be downloaded for offline viewing on a desktop.
Can I get a certificate after completing the course?
Yes, upon successful completion of the course, learners will get the course e-Certification from the course provider. The Machine Learning with Python course certification is a proof that you completed and passed the course. You can download it, attach it to your resume, share it through social media.
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