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Machine Learning with Python, IBM

4.7
1,730 ratings
210 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 RC

Feb 07, 2019

The course was highly informative and very well presented. It was very easier to follow. Many complicated concepts were clearly explained. It improved my confidence with respect to programming skills.

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

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209 Reviews

By Oliver Ignetik

May 21, 2019

The workbooks should be more challenging

By Mayank Pant

May 21, 2019

This course offers a simple and effective experience. I learnt how to find the most accurate algorithms in the scenarios. Most importantly, the Jupyter notebooks provided are although optional, but you should study them thoroughly. They might seem difficult on an overview, but are very easy to understand.

By Amber Prakash Rai

May 20, 2019

A good course designed nicely and recommended for beginners as it is very easy to understand and practical assignments are really effective.

By Eleni Konstantoula

May 19, 2019

The most challenging and at the same time interesting and satisfying course in the Professional certificate group of courses! I can't wait to use what I learned in action.

By Avinash Koshal

May 18, 2019

There is need of more videos and mathematics

By Chiara Passarini Mele

May 18, 2019

good machine learning overview. Good first course

By V MOHAN RAJ

May 18, 2019

Complex concepts of machine learning algorithms are explained clearly with an illustration. Learner definitely have confidence in Machine learning after this course completion. A practical assignment work is really helped the learner to do the implementation of classifier model of their own and gain confidence.

By Chandrakanth Ramaswami

May 18, 2019

It was exciting and tough course. Lots of materials were covered in the module which at sometimes felt exhaustive.

By Vamshi arla

May 18, 2019

It's great chance learn machine learnig

thanks for my tutor ,he done excellent

By Amish Punmiya

May 18, 2019

This was one of the best course in Machine Learning for beginners. I would definitely recommend this course to my friend.