课程概述
热门审阅
TG
Sep 24, 2020
Excellent course for beginners to data science field. Would have been better if the final project also included flavor of other ML methods such as Regression, Clustering or Recommender Systems.
CA
Dec 31, 2019
could be split in two courses to be given enough focus. it was very condensed and needed more time and explanation in each section. The instructor was very good but more details would have been nice
2576 - Machine Learning with Python 的 2600 个评论（共 3,260 个）
创建者 Brian G
•Jun 17, 2019
Would've liked the labs to be a little less demo and more DIY, but otherwise outstanding material.
创建者 Jacopo R
•Nov 4, 2025
Nice course for the basis in scikit-learn. The notebook for the final exercise can be done better
创建者 david m
•Feb 23, 2025
The course was good however at some Point, labs started feeling like advertising for IBM's SNAPML
创建者 Mitchell H
•May 15, 2020
Covers all the basics of sklearn library. Would have been nice to have more assignments/practice.
创建者 Joseph L
•Jul 24, 2019
I am enjoying the course so far. Very well explained with a pretty comprehensive course material.
创建者 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.
创建者 Saptashwa B (
•Mar 4, 2019
The course is pretty good, I just hope the printing mistakes in the slides will be corrected soon
创建者 ADEJOKUN A
•Apr 27, 2020
The underlying concepts of the various algorithms were broken down and delivered with simplicity
创建者 Asser M
•Nov 24, 2025
Great and valuable information! However, delivery sometimes lacks further explanation or depth.
创建者 Mahesh W
•Apr 18, 2025
Very disappointed the slides are not available for download, resulting in a lot of wasted time.
创建者 Sisekelo M
•Nov 12, 2025
Great course. Needs a few editing with the grammar, however the content is quite educational.
创建者 ASTHA S 2
•Nov 11, 2025
good course but not beginner friendly you must have prior knowledge of Python, NUMpy, Pandas.
创建者 Bala M
•Sep 17, 2019
Excellent course explaining all the essential details to kick of the ML journey using Python.
创建者 Lovish G
•Apr 25, 2024
Difficult to understand for a Non-mathematical student. Overall a great learning experience.
创建者 Neil C
•Aug 29, 2020
It was a good course but the final exam could do with more structure around what is expected
创建者 Urs H
•Jun 29, 2019
Comprehensive, good to understand, minor errors in the description of the final assignḿent.
创建者 Alex L
•Oct 18, 2022
Very eductational as a intro to machine learning - wish the homeworks were more difficult
创建者 rk s
•Feb 20, 2022
the final peer review quiz was too difficult, should have included more practice exercises
创建者 Ciniso M
•May 25, 2021
This course is very fruitful and it's instructors are awesome. Thank you Coursera and IBM.
创建者 Mitanshi K
•Apr 30, 2020
Great for beginners. Explains theoretical concepts well but lags on the coding part of it.
创建者 Vinit K S
•Apr 8, 2020
It is such a vast topic, It would have really been great if there were few more exercises.
创建者 Ritesh P
•Dec 4, 2023
Random Forest, XGBoost etc should have been there. Decision tree explanation was amazing.
创建者 Daniel J B O
•May 26, 2020
A little bit to basic for someone who studied the topics in the past but a good refresher
创建者 Mauricio C
•Jul 11, 2024
Hace falta que se explique mas los cuadernos de laboratorio para entender mas la teoria
创建者 Rubén G
•May 29, 2020
I recommend including more examples and documentation of the metrics in the algorithms.