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

4.7
18,068 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

RN

May 25, 2020

Labs were incredibly useful as a practical learning tool which therefore helped in the final assignment! I wouldn't have done well in the final assignment without it together with the lecture videos!

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.

筛选依据:

3026 - Machine Learning with Python 的 3050 个评论(共 3,226 个)

创建者 Abdulwahab A

Apr 3, 2020

Was not easy to use the code on my local machine.

I was using spyder IDE

创建者 VRS

Jul 24, 2019

Should be an extensive course.The coding part should be explained more.

创建者 Scott M

Dec 6, 2020

Course content was good however the final assignment was confusing.

创建者 Dani S P

Mar 7, 2025

Some materials contain errors, and the libraries are bit outdated.

创建者 UWIMANA L

Jun 17, 2024

I liked the course, but at times, I felt like I had less practice.

创建者 Madhurima M

May 20, 2020

Lab works are not well explained. Otherwise, it's a great course.

创建者 Chen Y

Mar 27, 2019

The lectures that are longer than 5 minutes are hard to tolerate.

创建者 Rangappa N

Feb 28, 2019

Programming works need to be added,Quiz need to graded for free

创建者 Nijatullah M

May 8, 2021

instead of implementing the algorithm more explanation on math

创建者 Abd-Elrhman M (

Jul 4, 2020

everything was out of scope it was just a brief of every thing

创建者 intissar b

Nov 18, 2024

I completed all the module which I doesn't take a certificate

创建者 Aravind P

Jun 12, 2020

Theory part was awesome. But not much of practical knowledge

创建者 Stefan A

Jun 6, 2020

Lab is working bad so a lot of time is waisted with waiting.

创建者 Muhammad A

Jan 21, 2025

Very limited knowledge regarding multiclass classification

创建者 Ahmed A

Oct 21, 2024

you better spend more time on teaching how to write codes!

创建者 Sean G

Jan 22, 2023

Many labs in Jupiter Lab portal did not work correctly.

创建者 Shamik K

Jan 2, 2021

It will help to add more clarity on the final exercise.

创建者 Ramsrinivas A

Jan 16, 2020

Theoretical portion was shallow compared to Lab portion

创建者 Hunter I

Apr 20, 2020

Learned a little bit, want more real world application

创建者 Oana L

Jan 28, 2021

Course is quite good but very basic not intermediate.

创建者 SHAONI C

Dec 2, 2019

needs more clarification on classification algorithm

创建者 lorenzo a

Feb 12, 2020

soooo many typoes and small mistakes in this course

创建者 H A H

May 19, 2020

this is good course about basic machine learning..

创建者 Haykel S

Dec 26, 2019

The Correction of assignment is not very correct.

创建者 Nicolas B

Sep 12, 2024

No summary, glossary, or seeing our quiz answers