Chevron Left
返回到 Machine Learning with Python

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

4.7
星
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：

2776 - Machine Learning with Python 的 2800 个评论（共 3,272 个）

创建者 Olli

•

May 21, 2019

The workbooks should be more challenging

创建者 apurva s

•

Sep 2, 2021

nice conducted and it is really helpful

创建者 Wen W

•

Mar 24, 2020

I found the instructor is really cool!!

创建者 Bhargav P

•

Jul 25, 2019

Nicely structured to give basic clarity

创建者 Nicolas P

•

Jun 18, 2019

Last assignment was just copy and paste

创建者 Bill G

•

Nov 18, 2019

Nice course, lots of good information.

创建者 Rajnikant B W

•

Mar 23, 2022

Excellent and Very Informative Course

创建者 gasner b

•

Aug 1, 2021

Good intro course to machine learning

创建者 Benhur O J

•

Sep 29, 2019

Great practical examples using Python

创建者 Muhammad B K

•

Jul 22, 2023

Informative and Pratical experience.

创建者 Ahmed M M

•

Jan 9, 2023

it's so good but with some difficult

创建者 Kashyap A

•

Jul 16, 2020

it is good but very conceptual based

创建者 Shivam R

•

Jun 26, 2020

It's really a good start towards ML.

创建者 Arpit G

•

Feb 4, 2020

Practical solving should be increase

创建者 act j l l t

•

Sep 27, 2022

Actualizar imagenes en documentos.

创建者 VISHAL L E

•

Apr 23, 2021

Great for theoretical understanding

创建者 Joseph Y

•

Feb 15, 2021

Very easy to understand and follow,

创建者 Xuan H N

•

Dec 28, 2019

IBM Watson Studio is a minus point.

创建者 ADITYA A

•

Feb 26, 2022

Great Course for someone new to ML

创建者 Fazni f

•

Aug 18, 2021

Good Course to learn ML Algorithms

创建者 Ali S

•

Jun 29, 2020

teaching codes was not really good

创建者 Степа А Б

•

Sep 30, 2019

Very many ML models for one course

创建者 Priyanshu V

•

Jul 12, 2025

enhances innovative understanding

创建者 Afra J

•

Mar 1, 2025

need some practical video classes

创建者 Information A

•

Dec 6, 2021

Great instructors and lesson plan