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Voltar para Aprendizagem automática com Python

Comentários e feedback de alunos de Aprendizagem automática com Python da instituição IBM Skills Network

4.7
estrelas
12,853 classificações

Sobre o 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....

Melhores avaliações

RC

6 de fev de 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.

FO

8 de out de 2020

I'm extremely excited with what I have learnt so far. As a newbie in Machine Learning, the exposure gained will serve as the much needed foundation to delve into its application to real life problems.

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2051 — 2075 de 2,236 Avaliações para o Aprendizagem automática com Python

por Shreya D

24 de jul de 2020

It is a really good course for understanding theories and covers vast topics! The concept were explained very nicely but it lacked proper mathematical working of algorithms or deep intuition about them.

por SAIKAT B

29 de nov de 2019

There is more theory than practical examples and exercises. The final project is nowhere near the actual course syllabus. No ML algorithm is taught in the course. But you ask them in the final project.

por Ashish

30 de jul de 2019

The instructor is very good and explanation of concepts is very clear.

But the code explaination is not there so we have to search for each keyword on google. Just wanted to have someone to explain code.

por Rejoy C

11 de jul de 2020

Its Ok. From Theoretical aspect, its good as a introduction. But for Python, this is not like introductory. Python programming is just reading materials. There are no videos for explanation.

por Berkay T

28 de out de 2019

So much stuff skimmed, left unexplained. Explanations are very shallow. This course gives you an idea on what you will have to do to tackle ML learning, but I can't say it fully teaches it.

por Jesús G A S

6 de jun de 2019

Good explanations in the video, however the complementary notebooks are lacking in depth explanations. The capstone project is underwhelming, as it only includes classifications algorithms.

por A P

27 de jun de 2019

A really good course, until you get to the final project, which is terribly written. It is unclear what the actual objectives of the final task are supposed to be, and the English is poor.

por Joann L

29 de mar de 2020

Really interesting subject, but the course material was just insufficient for beginners. The new codes were not explained. Out of all the other courses, I learned the least in this one.

por SAI K P

27 de abr de 2019

the course content is good, the course exercises are great. But there is no responsible human TA monitoring the discussion forum. So if you get stuck in a problem, then good luck to you.

por Raul R D D L

27 de jan de 2022

I understand that you want to cover many methods in this course, but you see so much that it is confusing, difficult to assimilate. I think this is the least good of the entire series.

por Christina W

28 de abr de 2020

Assumes a lot of background knowledge around Python. Not a great introductory course for someone with no experience with machine learning, AI, and limited experience with coding.

por Jianshi L

5 de mai de 2022

Generally good course with essential regression, classification and clustering algorithms. Some snippets of code are a little outdated and could be replaced by neater ones.

por SHALIN S

21 de jun de 2021

Contents in labs were just there without explicitly explained in detail. Few codes were written without proper understanding. Overall for understanding, it was good course.

por Omid Z

23 de abr de 2020

The course has some valuable pieces of information to whom have not any background about Python and machine learning. Highly recommended for beginners, not professionals!!!

por Varun V

13 de fev de 2019

This course is definitely not for starters. People should have good knowledge before enrolling in this course and then this can be taken as an excellent refreshing course.

por Chinelo o

13 de mar de 2020

The Labs and assignment had poor instructions that were not easy to interpret. Some of the videos need to be reviewed as they do not match up with the transcribed texts.

por Nicholas S

25 de mar de 2021

A lot of theory, not a lot of examples. The final project had lots of typos, pre-written code needs updates, questions need some clarification. Theory was fun though.

por Sean S

29 de ago de 2020

I feel like the course started in the correct direction but then moved very quickly over some complex issues (i.e the programming behind building the ML models)

por Rana F

15 de set de 2020

The explanation for each algorithm was good. However, the labs and the last assignment does not really explain what to do and it is all over the place.

por Jonathan M

27 de mar de 2019

Loved the assignments out here. They are awesome. Anybody who knows a little python and dataframe manipulation should be comfortable with this course.

por Mauricio F O M

26 de fev de 2020

It could be more didatic, with more simple (and ready) codes, and also a step by step code block composition to explain better each part of it.

por Meet S

17 de set de 2020

No Practical Videos on applying Algorithms. Just explaining algorithms. Kindly add practical videos as well. Else, the course is fantastic 👍👍

por Christie P

5 de ago de 2021

A good course! I think it would have benefitted from more explanation of the code in the videos, rather than just jumping into it in the labs.

por wasim m

9 de mai de 2020

The course is pretty descent but it doesn't teach you how to use python it just give documentation and you have to read it and learn from it

por Muhammad Z A

23 de dez de 2019

It is a very brief course, not recommended for computer science students. If you're from a non-cs background it will be fine for a start.