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學生對 IBM 提供的 使用 Python 进行机器学习 的評價和反饋

4.7
9,308 個評分
1,498 條評論

課程概述

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....

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RC

Feb 07, 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.

RN

May 26, 2020

Labs were incredibly useful as a practical learning tool which therefore helped in the final assignment! I wouldn't have done well in the final assignment without it together with the lecture videos!

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101 - 使用 Python 进行机器学习 的 125 個評論(共 1,486 個)

創建者 Amy P

Jul 25, 2019

Having worked my way through the IBM Data Science courses, this one was the "pay off" - it was so cool to finally apply more sophisticated techniques to real world data sets. The labs were fantastic. Highly recommend this course to anyone interested in learning about the most popular machine learning algorithms.

創建者 V M R

May 18, 2019

Complex concepts of machine learning algorithms are explained clearly with an illustration. Learner definitely have confidence in Machine learning after this course completion. A practical assignment work is really helped the learner to do the implementation of classifier model of their own and gain confidence.

創建者 Shakshi N

Jan 15, 2020

This course has been awesome. I have been doing ML Work for my college for quite some time, but never understood what goes in it, and kind of surfed through the net and just did the work. But this course has given me in depth knowledge of the logic that goes behind these algorithms and for that I am very glad.

創建者 Mayank P

May 21, 2019

This course offers a simple and effective experience. I learnt how to find the most accurate algorithms in the scenarios. Most importantly, the Jupyter notebooks provided are although optional, but you should study them thoroughly. They might seem difficult on an overview, but are very easy to understand.

創建者 Surendrabikram T

Jul 13, 2019

Great course.

It could be even better if programming assignment were provided in each week but still, final assignment was of great quality and I found it really engaging. The program introduces you to scikit learn which is again a wonderful advantage of taking this program. I am giving this course 5/5.

創建者 Luis M

Jan 08, 2020

The course was thorough and a great introduction to machine learning. The capstone project was challenging and required me to have a good working knowledge of the various models. This has been the most intensive course, so far (course 8 of 9), in the IBM Data Science Professional Certificate.

創建者 Priyansh S

Jul 20, 2019

The course is really good for machine learning beginners. I would recommend everyone to take this course as it gives you all the basic knowledge and working of ML. It is fun to do with the Jupyter notebook tool which gives a great actual experience. Thanks a lot. This course helped me a lot.

創建者 Srikanth G

May 07, 2020

It is indeed a very thorough course, yet easy to understand. The animations and visual graphics made it an engaging and pleasurable experience. Learning classification, clustering and regression was made easy in such a way, that I could do it all over again without hesitation. Keep it up!

創建者 Jeffrey P

Jun 17, 2019

I think it would be beneficial to talk about neural networks somewhere after the gradient of steepest descent section. I did appreciate the course talked about many other ML algorithms that are not typically covered by other programs - and the lab notebooks are extremely valuable.

創建者 XFAN

Apr 17, 2020

If more knowledge on 1) how to find the optimal depth value for decision trees and variables for other models; 2) explanations on parameters used, will be elaborated in hands-on lab notebooks, it would be better. Those are important to new beginners with zero idea on ml models.

創建者 Yi Y

Oct 03, 2018

It is one of the best introduction course to Machine Learning.

The material is well explained to someone with a beginner level of understanding to Statistics and Machine Learning.

All the material is presented in a way that is easy to understand, without leaving out the details.

創建者 Shiva S

Mar 19, 2020

This course is a good chance to start python programming and reviewing ML concepts with deeper insights. I would suggest it for those who are familiar with ML and its algorithms. For those ones who want to start learning ML, it is better to take ML courses with Basic level.

創建者 Omri

Nov 27, 2019

Great course, cover many important aspects of classical machine learning algorithms. The lectures are very focused and not tedious. Labs are excellent, and can serve as a starting point for every data science project in the future. I definitely recommend taking the course.

創建者 Pankaj Z

May 03, 2020

This is one of the finest courses for anyone who wishes to transform his/her career into Machine Learning. It has optional external tool assignments after each chapter to help you understand and try out code and the concept. I would highly recommend this course to anyone.

創建者 Dominique D

Apr 16, 2020

If you put your heart to it, there is really a lot to learn in the course. The course touches quite some ML topics and gives a good introduction to it. I feel I got a whole new set of tools to use, and i am hungry to learn and experiment more.

Really enjoyed the course!

創建者 Benedict A

Apr 02, 2020

The videos and labs were remarkable in that it was able to concisely communicated vast and complex information.

I did have to do additional research to fully understand and appreciate the material because I am not coming from a programming or statistical background.

創建者 Toan T L

Oct 28, 2018

Great course.

Knowledge wise, just like Prof. Ng's, minus the mathematics foundation.

Practical wise, carefully designed labs really help learners understand the data cleaning processes, understanding data through visualization, ML algorithms and evaluation metrics.

創建者 Roger T

Mar 28, 2020

It's a very precise and practical course. It focuses on the main ideas and application aspects of M.L., without drilling too deep into the math rationale behind.

To get the most from this course, it's good to equip yourself with basic knowledge in numpy and pandas.

創建者 Ashish S

Sep 14, 2019

Can include more details. Every time I was more interested in a certain topic it mentioned it was out of the scope of this which was disappointing. I absolutely loved the teaching and would like to hear more to his lectures and sessions!

Amazing course. Thank you!

創建者 Patrick B

Feb 05, 2020

The lessons are very simple to understand with both logic intuition and mathematical explanations.

It is really the best course and beginner friendly.

I strongly recommend this course for anyone willing to start a career in Artificial Intelligence technologies.

創建者 Victor A M B

Sep 17, 2019

Muy buen curso, se da información bastante relevante acerca de los algoritmos de Maching Learning. Debe tenerse en cuenta que después de este curso será necesario profundizar más en los diferentes algoritmos, pero en mi opinión esto se dará con mayor facilidad.

創建者 Ravi P B

May 12, 2020

Excellent Course.Really enjoyed it.Covers details of lots of machine learning techniques and their implementation also.A nice way to start Machine learning.Instructors are fantastic.Even those who already know machine learning can learn a lot from this course.

創建者 henry c

Sep 19, 2019

The course is not easy, but it is a lot of work with dedication and commitment to the management of platforms, if the concepts are very understandable and the laboratories are very didactic, thank you very much for sharing the information and thanks again ...

創建者 Moez B

Feb 25, 2019

Excellent course on machine learning principles and various algorithms. It's a great start if you want to jump into the practical side of implementing ML using Python libraries, without getting too deep into the theory behind the most popular algorithms.

創建者 yatish s

Jul 17, 2019

It was a very good course having atmost knowledge about the machine learning with the help of python libraries. I recommend this course to the freshers in machine learning field having good knowledge of python libraries like numpy, pandas and matplot.