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Machine Learning with Python, IBM

4.7
1,387 calificaciones
171 revisiones

Acerca de este Curso

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....

Principales revisiones

por 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.

por 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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167 revisiones

por CHENGGUO YANG

Apr 18, 2019

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

por Vishal Kumar Jaiswal

Apr 17, 2019

Nice course to start with Machine Learning for beginners.

por Francisco Schiappacasse

Apr 15, 2019

Very useful with theory and practical labs.

por RAVI SHANKAR N R

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 !!

por 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

por 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.

por Irfanur Rahman

Apr 04, 2019

Good course for Classification problem

por Himanshu Soni

Apr 04, 2019

This Course is so beneficial for us .This is the best course regarding machine learning algorithm implementation.

por Ganesh Padhy

Apr 03, 2019

good course

por Sisir Kovuri

Apr 03, 2019

Very complicated subject. Many lines of code in the algorithms are not explained, and the learner is left to either figure out their function themselves or to memorize them.

The final assignment was fun to complete.