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

4.7
18,295 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

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.

JT

Apr 17, 2020

This course was a great taster for machine learning techniques. My only recommendation would be to add more explanation on tuning techniques for models and cover more of the supporting mathematics.

筛选依据:

3051 - Machine Learning with Python 的 3075 个评论(共 3,259 个)

创建者 Karan S

Aug 20, 2024

it was good theoretically, but have could have been better in practical learning.

创建者 Asavari P

Feb 26, 2021

Good learning, but very fast paced. A little more practice assignments would help

创建者 shankar p

May 27, 2020

Watson Studio was not enough explained. extremely difficult to work on it.

创建者 Jayesh M

Jan 27, 2020

Too complex course, some one will do not understand many things out of it.

创建者 Jofre T C

Aug 5, 2024

I have ended the course with Honors and is not visible on my certificate

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Some materials contain errors, and the libraries are bit outdated.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