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Machine Learning with Python, IBM

Оценки: 1,409
Рецензии: 173

Об этом курсе

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....

Лучшие рецензии

автор: 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.

автор: 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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Рецензии: 171

автор: manish

Apr 23, 2019

best course on ml

автор: Tiago Beltrão Lacerda

Apr 23, 2019

great course! my mainly consern today is about my time. There are lots of courses out there and its dificult to choose one to invest your time on. This one is, in my view, is perfect: Teaches a lot in a concise way.

автор: Clarence Earle Younger

Apr 22, 2019

This course will challenge learners to commit to learning about the key objectives for using algorithmic approaches to answering important business questions using data. The lectures cover the theoretical foundations of the "relationship" algorithms used for classification and clustering methods. Additionally, the labs provide a fully integrated environment in which learners can do hands-on investigations to gain proficiency.

автор: Krishna Mohan Menon

Apr 22, 2019

The course is aptly structured for intermediate learners - just the right level of complexity and ease.


Apr 18, 2019

Easy understanding and good coverage course, very good for the machine learning beginners with python background.

автор: Vishal Kumar Jaiswal

Apr 17, 2019

Nice course to start with Machine Learning for beginners.

автор: Francisco Schiappacasse

Apr 15, 2019

Very useful with theory and practical labs.


Apr 15, 2019

It gives a right sense of direction and orientation for any beginner aspiring to understand Machine learning. The final project, though simple, yet makes one understand the basic tenets of several ML algorithms. I really enjoyed doing this course !!

автор: Sri Kruthardh Peddada

Apr 14, 2019

This course is an excellent platform to understand the basics of Machine Learning with python. The lab tools pioneer a way to understand the code and implement it. The videos are crisp and clearly mention the scope of the course which creates a curiosity to know more. However, the peer graded assignment is not an efficient way as 'sample notebook" paves the way to plagiarism. The peer grading also restricts the user creativity to write a simpler code as it may not be understood by other peers. Overall I am very happy with the course

автор: Brahim AMRHAR

Apr 07, 2019

It was an exited course though some difficulties to acquire the knowledge behind ML algorithms. But this course is worth learning. Definitely, thanks to Mr. SAEED AGHABOZORGI and all the team.