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

4.7
18,342 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:

2651 - Machine Learning with Python 的 2675 个评论(共 3,272 个)

创建者 Vivek K G

Apr 28, 2020

Well, the theoritical teaching was good but average practical experience.

创建者 Peve B

Feb 14, 2025

C'était vraiment une expérience enrichissante merci a toute l'équipe....

创建者 Escape K

Nov 11, 2024

I am somewhat new to Python and the lab is a very great feature to have.

创建者 Muhammad H B R

Aug 27, 2024

The videos are a little slow paced. Otherwise, the content is very good.

创建者 Graham T

Mar 21, 2024

A beginner-frienldy course and a great way to get into Machine Learning.

创建者 reshi u

Feb 25, 2024

amazing , 4 * only because I wished the final exam were really tough :-)

创建者 Priyanshu C

May 1, 2020

Lab sessions are difficult with less explanations. Hope you work on it!!

创建者 Fulvio C

Nov 26, 2019

The lab are very important in this module, the video should be updated..

创建者 David Z

May 7, 2020

Could be more beginner friendly, and explain further, but great course!

创建者 Apurv A S

Mar 30, 2020

Lectures are good but there are not much hands on Practice Assignments.

创建者 Merima R

Aug 4, 2025

Definitely way more granular than I was expecting, but a great course.

创建者 jince g

Nov 30, 2019

Great course focusing on the fundamental concepts of machine learning.

创建者 David O

Jun 26, 2024

Un buen punto de partida para comenzar con el aprendizaje automatico.

创建者 TANMAY D P

Jul 10, 2020

Very properly Explained, will love to learn more from the instructor.

创建者 Bimal T

Jun 3, 2020

The Course Content is good, but the code is not explained in details.

创建者 Thanh K ( V

Apr 26, 2020

most of the codes are too hard to follow, need more detail narrations

创建者 Dorjee G

Nov 11, 2019

Great course, great instructor. I enjoyed doing the Lab works.

Thanks,

创建者 Mahendra S

Jul 21, 2019

Contents are very useful and informative. A good start for beginners.

创建者 Yusuf A Y

Jul 25, 2025

I really appreciated the structure and clarity of the whole course.

创建者 Mujeebullah Y

Oct 23, 2019

Good course. However, they need to explain the code more in details.

创建者 Subhara S

Oct 26, 2022

This was a very good course who are want to learn the basics from.

创建者 Danny R

Jan 30, 2024

Decent theoretical intro to machine learning but not much practice

创建者 Alexandre N

Dec 21, 2020

Recommendation systems could receive a peer-reviewed task as well.

创建者 Hemanth A

Jul 6, 2020

A good platform for users curious about the various ML techniques.

创建者 Dhruv V C

May 10, 2020

Marks were deducted for no reason in the peer graded assignment .