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学生对 IBM 提供的 Machine Learning with Python 的评价和反馈

4.7
18,339 个评分

课程概述

Python is a core skill in machine learning, and this course equips you with the tools to apply it effectively. You’ll learn key ML concepts, build models with scikit-learn, and gain hands-on experience using Jupyter Notebooks. Start with regression techniques like linear, multiple linear, polynomial, and logistic regression. Then move into supervised models such as decision trees, K-Nearest Neighbors, and support vector machines. You’ll also explore unsupervised learning, including clustering methods and dimensionality reduction with PCA, t-SNE, and UMAP. Through real-world labs, you’ll practice model evaluation, cross-validation, regularization, and pipeline optimization. A final project on rainfall prediction and a course-wide exam will help you apply and reinforce your skills. Enroll now to start building machine learning models with confidence using Python....

热门审阅

RV

Jan 14, 2025

good course , some part is typical more statistical part shown, even i have good understanding of ML , so new learner will find little typical. rest tutor voice and language is understandable.

IK

Dec 13, 2022

Thank you Coursera & IBM for offering such a wonderful career-oriented course. Thank you very much Dr SAEED AGHABOZORGI and Dr Joseph Santarcangelo for providing the amazing learning Journey.

筛选依据:

2701 - Machine Learning with Python 的 2725 个评论(共 3,272 个)

创建者 Shreenivas R D

Jul 2, 2020

Best course for beginners or to get better knowledge in ML

创建者 Tobias B

May 12, 2020

Course gives a good overview over differente ML techniques

创建者 Prince R

Apr 17, 2020

Covered important topics and hands on was pretty good too.

创建者 yavuz k

Jul 16, 2019

Very good structured course. Everything stepwise explained

创建者 David C

Nov 7, 2025

It's already dated and the context does not go very deep.

创建者 Soumyaraj C

Jun 1, 2024

Teacher was great with fairly comprehensible explanations

创建者 yogita

Mar 5, 2022

the ml labs should be video based rather than documented.

创建者 srijani c

Oct 2, 2021

challenging course good introduction to machine learning.

创建者 成美伊藤

May 1, 2020

This course is one of the most worthiest contents for me.

创建者 劉啟迪

Mar 13, 2019

Great online course for Machine Learning! very practical!

创建者 Antonio B O

Jan 21, 2025

great and fast overview. The labs are also pretty useful

创建者 Arriouach M

Apr 19, 2024

Good experience, I have learned, more skills about ML.

创建者 MOHIT Y

Oct 18, 2021

If You are a beginner then don't start with this course.

创建者 Jan J Y

May 18, 2021

Some issues with importing libraries using the notebooks

创建者 Brendan W

Apr 8, 2020

Excellent course, lots of typos in the lab instructions.

创建者 AVIJIT S G

Sep 1, 2024

Great But Not the Best. But still better than the rest.

创建者 Kshitij G

Nov 16, 2021

Good Intro of ML algorithms for beginners/intermediates

创建者 Thomas

Jun 26, 2020

This is a good course I wished it was more challenging.

创建者 Abdul M A

May 14, 2019

very good lecture but not detailing notes to back it up

创建者 Agrim R

Jun 27, 2022

please provide vedios for python code explanation also

创建者 VISHAL P

Jul 27, 2020

this course was amazing for statistical field student

创建者 Jayant D

Jul 29, 2019

Explanation is good but code practice could be better.

创建者 MUHAMMED S M

Mar 13, 2026

amazing good , helped with eda nd model understanding

创建者 micheal k

Feb 14, 2023

great course

although short, many things are discussed

创建者 Javier G R

Apr 10, 2023

I would like some bibliography for deeper knowledge.