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Machine Learning with Python, IBM

4.7
527 ratings
62 reviews

About this Course

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. LIMITED TIME OFFER: Subscription is only $39 USD per month for access to graded materials and a certificate....

Top reviews

By JJ

Dec 06, 2018

I am happy to have this online education, I drop out my nuclear engineering degree, I am happy to learn practical things with future... I work for IBM also...but I want to become a data scientis

By AP

Jan 07, 2019

Very well for beginners. This course gives a great insight to the new learners on how to implement machine learning algorithms in Python.

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60 Reviews

By Rajdeep Saha

Jan 15, 2019

Concise presentation,brief and to-the -point explanations, great course for an intermediate ML developer looking to brush up their skills.Programming exercises should me more detailed.

I liked the concept of peer graded final project allowing us to review the projects of other learners as well.

By Soumya Ranjan Behera

Jan 14, 2019

Awesome

By Mohitkumar Rajput

Jan 12, 2019

Great course, SO much information and great excercise, In Captone project project guidance need improve,otherwise great course

By Venkata Ramarao Sanka

Jan 11, 2019

Very well structured and has lot of content..

By Chandra Prakash Gupta

Jan 10, 2019

Nice One. With Superb Hands On Exercises.

By Nandakumar D

Jan 09, 2019

Love the approach!

By Sarah Schneider

Jan 08, 2019

This was hard but rewarding. I really learned a lot and it has opened a lot of doorways internship wise as a student.

By Mahesh Alleswaram

Jan 08, 2019

Good Course

By AVADH PATEL

Jan 07, 2019

Very well for beginners. This course gives a great insight to the new learners on how to implement machine learning algorithms in Python.

By ankush upadhyay

Jan 03, 2019

It is a fantastic course and do your Lab assignments in the same week, that would be really helpful.