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
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:

3076 - Machine Learning with Python 的 3100 个评论(共 3,272 个)

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

创建者 Bao P

Aug 23, 2023

Just the basis. I want more focus on the coding

创建者 NIGAR S

Jul 9, 2025

I think it is useful and important for my work

创建者 YuxinFeng

Dec 24, 2020

final assignment表述不够明确,整个课程内容都非常形式化,lab都是直接调包

创建者 Minh L N

Aug 15, 2020

The course should have been designed better

创建者 Reginaldo B

Oct 9, 2020

It should be splited in two larger courses

创建者 RAHUL D

Oct 27, 2023

Lab material are not getting installed

创建者 Abdul R

Mar 27, 2020

Labs Are not responding it sucks a lot

创建者 Катерина М

Jan 28, 2025

Мені треба почати з основ Пайтон

创建者 ARYAN A

May 28, 2023

Could have been more elaborative