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Machine Learning with Python, IBM

4.7
314 calificaciones
45 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 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

por MD

Nov 19, 2018

Really high quality videos and labs.\n\nThis is the best Coursera course I have taken so far, and I have taken many.\n\nGreat job Saeed!

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45 revisiones

por RAVIKUMAR M

Dec 12, 2018

Good Start with detailed explanation about each element in the syllabus. I thoroughly enjoyed working with labs and assignments. After the course, You'll have a solid understanding and you can explore almost any algorithm and understand it intuitively.

por Alireza Rafiyi

Dec 11, 2018

Quick and practical introduction to ML at an elementary level.

por Serdar Mamiyev

Dec 10, 2018

labs are not easy to understand

por asher belles

Dec 06, 2018

puts a lot of the previous courses all together. challenging, but doable.

por Jonathan

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

por VASILEIOS MAGKLARIS

Dec 05, 2018

Thank you!!

por Mrinal Gosain

Dec 03, 2018

nice

por Sudhir Sekuri

Dec 02, 2018

More videos would have helped to understand concepts of subject better to apply in lab

por NAFEES AHMAD

Dec 02, 2018

Excellent course. I have enjoyed it and learned.

por Ghraycee Eze Matthews

Nov 30, 2018

Thank you so much for the opportunity to learn.