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Вернуться к Машинное обучение с использованием Python

Отзывы учащихся о курсе Машинное обучение с использованием Python от партнера IBM

Оценки: 10,933
Рецензии: 1,850

О 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....

Лучшие рецензии

8 окт. 2020 г.

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.

6 февр. 2019 г.

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.

Фильтр по:

176–200 из 1,832 отзывов о курсе Машинное обучение с использованием Python

автор: YASH G

18 февр. 2020 г.

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.

автор: Petros L

23 сент. 2020 г.

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.

автор: ong k s

13 нояб. 2019 г.

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.

автор: Robert v d V

14 июля 2020 г.

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.

автор: Omid C

27 февр. 2020 г.

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 :)

автор: Nazmus S S

8 апр. 2020 г.

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.

автор: Ashish B

2 февр. 2020 г.

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!

автор: Lipin A

5 авг. 2019 г.

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!

автор: Anirban M

22 мая 2020 г.

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

автор: Joe A

9 февр. 2020 г.

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.

автор: Arnold K

7 апр. 2020 г.

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.

автор: NGO T N

22 мар. 2019 г.

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!

автор: Venkata S M I

2 нояб. 2019 г.

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.

автор: Prakher N

15 апр. 2020 г.

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

автор: FOSS - F & O S S C

6 авг. 2020 г.

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

автор: Carl-Michael E

31 мар. 2021 г.

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.

автор: Nabham G

6 мая 2020 г.

Crisp and clear course. Professors, up to the point and very clear explanation. The provided notebooks were super helpful for the final assignment submission. Everything was just awesome and organized well in detail.

автор: Amitayu B

11 мар. 2020 г.

A wonderful course for beginners. Linear Regression, Classification (K-NN, DT, SVM, logistic regression) and Clustering algorithms (K-means, Hierarchical, DBSCAN) with its respective Python codings clearly explained.

автор: Apurva N

28 мар. 2020 г.

I was working in an organization on a project related to predictive modelling using python. This course has helped me a lot to increase my knowledge and assisted me in completion of the project in a very smooth way.

автор: Tiago B L

23 апр. 2019 г.

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: Ritesh T

2 июля 2019 г.

From Nowhere to somewhere. Definitely worth, I was afraid of Python, but with the professor's teaching, and little bit of youtube studies, I am some how confident that I can handle data in python. A big thumbs up!

автор: siddhesh

3 июля 2019 г.

It is a very great course to start. Theory lectures are very easy to understand and the practical labs provided gives you the insights of it and really boosts the confidence. Very comfortable to watch and learn.

автор: Saurabh D

4 июня 2019 г.

its the perfect course to start the journey of worlds most demanding technology. well structured and organised with good knowledge and it will definitely increase knowledge about ML, no matter how much you know.

автор: Aditya V

2 сент. 2020 г.

One of the best course, i have taken till now, Including lots of important content related to machine learning, I would recommend this course to a beginner in machine learning. I learned a lot from this course.

автор: Bhavesh G

7 апр. 2020 г.

I've learn about different machine learning techniques like regression, classification, clustering and recommendation system. I've suggest this course to everyone who will build their career into Data Science.