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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
13,609 classificações

Sobre o curso

Get ready to dive into the world of Machine Learning (ML) by using Python! This course is for you whether you want to advance your Data Science career or get started in Machine Learning and Deep Learning. This course will begin with a gentle introduction to Machine Learning and what it is, with topics like supervised vs unsupervised learning, linear & non-linear regression, simple regression and more. You will then dive into classification techniques using different classification algorithms, namely K-Nearest Neighbors (KNN), decision trees, and Logistic Regression. You’ll also learn about the importance and different types of clustering such as k-means, hierarchical clustering, and DBSCAN. With all the many concepts you will learn, a big emphasis will be placed on hands-on learning. You will work with Python libraries like SciPy and scikit-learn and apply your knowledge through labs. In the final project you will demonstrate your skills by building, evaluating and comparing several Machine Learning models using different algorithms. By the end of this course, you will have job ready skills to add to your resume and a certificate in machine learning to prove your competency....

Melhores avaliações

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.

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.

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201 — 225 de 2,375 Avaliações para o Aprendizagem automática com Python

por Oksana Z

6 de jun de 2020

This course is exceptional in IBM Data Science Professional Certificate Program. It provides newcomers with the ready-to-use tools in machine learning. I especially liked the part on recommendation systems and wish it had more content!

por Abhijit H J

15 de dez de 2019

The course was awesome, I got a good understanding of the ML algorithms. If the explanation would have been along with the python code, then it would have been better for understanding.

But still, I must say the course was just awesome.

por Jafed E G

6 de jul de 2019

I enjoy the lectures. The professor has a good speaking and teaching style which keeps me interested. Lots of concrete math examples which make it easier to understand. Very good slides which are well formulated and easy to understand

por Edward J

12 de ago de 2020

Loved the video and loved the exercises. My only criticism would be greater opportunities to practise the coding in the labs rather than just actioning the code already given - I guess that might be more specialist though. Thank you.

por Rupam H

16 de jun de 2020

Gone through so many courses but didn't find like this before. This course is too good. As an intermediate, I can say that this course described very complex topics in such a easy way making it very much understandable for beginners.

por Chandan K S

26 de abr de 2020

For absolute beginners, this course is really amazing. If anyone don't know anything or any algorithms of machine learning. Then this course is for them. So, i would like to say for beginners this course is really amazing. Thank you!

por YASH G

18 de fev de 2020

The course was helpful and the final assignment was very good. You have to go through all of the concepts again. But it would be great if assignments would be different for everyone, then validating part would be interesting as well.

por Petros L

23 de set de 2020

Very well structured and interesting course! Would be nice if you could include a small introductory section about Python code basics, in order for the code, that would be later used during the course, to be much easier understood.

por ong k s

13 de nov de 2019

Awesome machine learning course. Unlike most of other courses which come with technical mathematic jargon, this course explain everything in laymen term. Even myself without in depth knowledge in maths can understand it. Well done.

por Robert v d V

14 de jul de 2020

Overall good introduction to machine learning, it would be nice for the final assignment to create some kind of test to see if everybody understands the concepts. Now the course is passable with copying code of the previous weeks.

por Omid C

27 de fev de 2020

The course provides an excellent overview of some essential algorithms in the field of Machine Learning. The instructor has the ability to explain the core idea of each algorithm in an intuitive way. I liked the course so much :)

por Nazmus S S

8 de abr de 2020

This course is awesome in one word. This course is great for learning the classification algorithms in such an ease with all the power these algorithms possess. I loved the way instructor SAEED AGHABOZORGI instructed the course.

por Ashish B

2 de fev de 2020

This is a very informative course. The content is amazingly put together. Not only is this course rich in concepts of Machine Learning, but it is also robust in the implementation of ML with Python. This course is a must-read!

por Lipin A

5 de ago de 2019

Thank you very much. It was not easy, but very interesting to learn, to create and to code.

This course, especially its practice part got me deeper understanding what else I should to learn and read about.

Thank you! Good luck!

por Aurora S P

10 de jan de 2022

Very interesting course. What I like the most are the practial exercises, which can be easily followed and you can always play with them trying different cases by your own. The theory is also very well organized. Thank you!

por Anirban M

22 de mai de 2020

Teaching was good but since the title refers ML with python expected more deep dive with some ML associated libraries in python and implementation. The course was more over Theoratical but good for the beginners.

Thanks alot

por Joe A

9 de fev de 2020

I enjoy this course - the content, the pace and the Notebook exercizes. It didn't bog me down and gave me a great insight into what Supervised and Unsupervised ML entails. I have lots to learn and practice ahead. Thank you.

por Arnold K

7 de abr de 2020

this is an intermediate level but it blends in well with beginner's basics, allowing even people with less experience or perhaps only theory to jump in right away. Also makes foundation for advanced level. i recommend it.

por Thanh N N

22 de mar de 2019

Amazing course. I learnt a variety of machine learning model here. Complete the course, I feel confident in understanding and applying them. It is also the foundation for me in further learning of machine learning. Thanks!

por Venkata S M I

2 de nov de 2019

The course content provides a great insight into how we can create different types of models using Machine Learning algorithms. This is the best place to start if you want to really pursue a career towards Data Science.

por AmirHosein V

24 de jan de 2023

It was a great course to begin Machine Learning roadmap...

I learned Regression, Decision Tree, Support Vector Machine, KNN in classification topic,

and k-means in clustering topic.

I highly recommend this course for you.

por Prakher N

15 de abr de 2020

The course is really good and comprehensive. You need to have some prerequisites of data visualization but the best aspect of the course is the instructor who teaches everything very smoothly and clears all your doubt

por Dr. P R B

6 de ago de 2020

Thanks a lot to the Course Mentors...Highly Informative and explained in a detail.I wish there should be little more elaboration needed as this is completely new for Industry.More Practical Assignments should be given

por Yoel -

25 de mar de 2022

Great course that serves much knowledge for newcomers to the data science field about machine learning and its many algorithms. It is a bit challenging on the peer assignment section but the knowledge is well earned.

por Carl-Michael E

31 de mar de 2021

The best part of this course is the final project. This is because they provide you with working code in the assignments, but you need to adapt it to your needs in the final project. The rest of the course is okay.