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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
9,725 個評分
1,581 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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1251 - 使用 Python 进行机器学习 的 1275 個評論(共 1,566 個)

創建者 Aditya S

Jun 29, 2020

More peer graded assignments should be there , so that learners get more practice for building models.

創建者 Brannon C

Jun 21, 2020

Great overview for many of the key Machine Learning algorithm types using in Python for Data Science.

創建者 ABU H M A R

Jan 05, 2020

Great course for the fundamentals of different machine learning techniques. Enjoyed this wuite a kot

創建者 Manal C

Nov 27, 2019

Recommending more emphasis on the coding behind the algorithm (reminders / links to references ...)

創建者 Matthew A

Jun 15, 2019

This was a good course - but still could use more hands-on exercises to go along with the lectures.

創建者 Ashutosh d

May 19, 2020

it was a nice course but there must be a little explanation video of the codes written in the labs

創建者 Brian G

Jun 17, 2019

Would've liked the labs to be a little less demo and more DIY, but otherwise outstanding material.

創建者 Mitchell H

May 15, 2020

Covers all the basics of sklearn library. Would have been nice to have more assignments/practice.

創建者 Joseph L

Jul 24, 2019

I am enjoying the course so far. Very well explained with a pretty comprehensive course material.

創建者 nilay m

Mar 11, 2019

it was a nice course giving basics of every ML algorithm and i am all in all very much benefited.

創建者 Saptashwa B

Mar 04, 2019

The course is pretty good, I just hope the printing mistakes in the slides will be corrected soon

創建者 ADEJOKUN A

Apr 27, 2020

The underlying concepts of the various algorithms were broken down and delivered with simplicity

創建者 Bala M

Sep 18, 2019

Excellent course explaining all the essential details to kick of the ML journey using Python.

創建者 Neil C

Aug 29, 2020

It was a good course but the final exam could do with more structure around what is expected

創建者 Urs H

Jun 29, 2019

Comprehensive, good to understand, minor errors in the description of the final assignḿent.

創建者 Mitanshi K

Apr 30, 2020

Great for beginners. Explains theoretical concepts well but lags on the coding part of it.

創建者 Vinit K S

Apr 08, 2020

It is such a vast topic, It would have really been great if there were few more exercises.

創建者 Daniel J B O

May 27, 2020

A little bit to basic for someone who studied the topics in the past but a good refresher

創建者 Rubén A G Z

May 30, 2020

I recommend including more examples and documentation of the metrics in the algorithms.

創建者 Aldy P S

May 29, 2020

This course didn't help Much for a beginner. But overall worth to try. Thanks Coursera!

創建者 Sudhir S

Dec 02, 2018

More videos would have helped to understand concepts of subject better to apply in lab

創建者 Robert F

Aug 03, 2020

The final test portion was a little rough. Finally got the test to work successfully.

創建者 anas m r

Aug 02, 2020

A great introduction for ML, but you have to exert effort to understand the lab codes

創建者 Meijuan Z

Mar 22, 2020

Should include more details of ML algorithm, but is nice to people who are new to ML.

創建者 Sadabrata K

Mar 22, 2020

Random Forest Classifier is not included. Everything else is very good. Nice course.