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Вернуться к Машинное обучение с использованием Python

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

Оценки: 11,041
Рецензии: 1,869

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

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.

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.

Фильтр по:

201–225 из 1,853 отзывов о курсе Машинное обучение с использованием Python

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.

автор: afsaneh l

30 мая 2019 г.

I really enjoyed this course. It helped to understand different machine learning projects. Also, I became familiar with a lot of libraries in Python which are very useful in coding machine learning algorithms.

автор: Okta F S

31 мая 2020 г.

This is very great course. From this course I can learn fundamental concept of machine learning with Python like building classifiers using k-nn, decision tree, support vector machine and logistic regression.

автор: A A A

6 июля 2020 г.

Very beautiful course, continuation from IBM Data Science Specialization. Instructors did a great job explaining the basic Machine Learning algorithms. I honestly enjoyed the Capstone week: Best classifier.

автор: Deleted A

4 нояб. 2019 г.

This course was very useful to get clear about basics of machine learning. Thank you for making such informative and easy to understand videos. I would like to learn more about machine learning.

Thank you!!

автор: Ankan K P

6 мая 2020 г.

It is a good course for both beginners and intermediate.But i will suggest you to before starting this course make sure that you are master in python basics,numpy,pandas,skypy,sckit learn,matplotlib etc.

автор: Ishani S

3 мая 2020 г.

A thorough introduction to Machine Learning for beginners. I loved this course because it explains the Machine Learning concepts very well. This course motivates me to do more study in Machine Learning!

автор: Anthony F

20 февр. 2020 г.

Challenging and fun course that took everything we learned previously and built on it. As someone coming in with RStudio experience, it still stretched out my ability to code in this different language.

автор: Pranjal S

28 июля 2019 г.

Very basic course which includes important machine learning models. This course doesn't go to depth of the topic.But overall I like the labs environment which feels practical because they are in python.

автор: Carol C

19 апр. 2021 г.

I learning the principle of each algorithm. It's clear and easy to get the principle. It's pretty good to learn ML in such a way, not too much information in one week. Thanks, IBM provides this course.

автор: Franco M V

23 мая 2020 г.

Excelente curso! Explican aspectos matemáticos y estadísticos complejos con mucha simpleza, lo que lo hace entendible inclusive para la gente que no tiene ancetedentes en la materia. Felicitaciones!

автор: Nicole D

16 июля 2020 г.

This course is a great way to start learning about ML, as it sets out what you need to do step-by-step, explains very clearly why, and gives you a chance to experiment and practise. Thank you IBM!

автор: Muhammad U A

1 сент. 2020 г.

This is an amazing course. specially for those with little knowledge with python. This course has helped with the basic understanding of Machine learning and usage of python as a data scientist.

автор: 석박통합김한준

28 февр. 2020 г.

Excellent course! Easy to understand through the whole range of machine learning. However, some subjects are dealt in shallow, other subjects in depth! Anyway it must be great course! Thank you!

автор: Ahmed G

2 февр. 2020 г.

Quite an informative course, well presented material without being overbearing for newcomers to ML. Highly recommended to everyone with prior CS experience who wants to get into AI/ML workloads.

автор: Brahim A

7 апр. 2019 г.

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.

автор: Filipe S M G

29 авг. 2019 г.

Very informative course, showing mostly how to use many different Machine Learning techniques. Although mathematical details are not discussed much, the intuition of the methods are discussed.

автор: Munib A L

8 дек. 2020 г.

The course was excellent. Instructors explained each and every topic well both theoretically and practically. Recommended for beginners who want to dive into machine learning using Python.

автор: Zaheer U R

10 июня 2020 г.

One of the best course I have come across. Every module was brilliant and taught so well. Thanks to coursera and IBM for such a lovely course. Special thanks to all the tutors and mentors.

автор: Ahmed M

19 мар. 2020 г.

This course provided a solid platform for machine learning and I have thoroughly enjoyed every second of it. No regrets and I look forward to continuing with similar courses in the future.

автор: Yashwanth A

1 июля 2020 г.

I Learned basic algorithms, error evaluation, analysis on various datasets. At the end of the course, I am confident to apply my knowledge to solve problems with the required algorithms.

автор: Yathish S

8 июня 2020 г.

well designed course... smooth. it is for beginners, gives a good basic grasp.. the exercises are the best, pretty painless to get up and running, easy to experiment (highly encourage)..