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

4.7
18,273 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.

FO

Oct 8, 2020

I'm extremely excited with what I have learnt so far. As a newbie in Machine Learning, the exposure gained will serve as the much needed foundation to delve into its application to real life problems.

筛选依据:

2651 - Machine Learning with Python 的 2675 个评论(共 3,255 个)

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 .

创建者 Alexios M

Mar 13, 2021

Well-structured course. It drives you stop-by-step in most cases.

创建者 Harish K

Jun 30, 2023

This course is very useful and also helps to improve your skills

创建者 Nitai S

Dec 7, 2021

notebook setups for final projects could have been much better.

创建者 mohd z

Jun 22, 2021

Awesome course with excellent content and Project based learning

创建者 Ayushman S

Apr 6, 2020

Some concepts were hurried. But jypyter notebooks are very good.

创建者 Felicia C

Dec 7, 2024

overall good, but I'd prefer more coding practice in python lab

创建者 Abhinav K

Mar 2, 2019

A complete package for those who want to start from the stratch

创建者 Tao W

Dec 31, 2023

- well structured content - I like jupyter lab, fun to try out

创建者 Tien C B

Jan 4, 2023

There are a few misleading and vague questions in the content.

创建者 Amlan G

Jul 21, 2022

This is a very gd course for a student to learn ML with python

创建者 Subash L

Jun 26, 2021

Over all good. The lab results could be explained a bit better

创建者 KOSHAL K

Feb 10, 2020

It is best for beginners for introduction to machine learning.

创建者 Prakash R

Feb 10, 2019

This course helps me to get understand about Machine Learning.