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

4.7
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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.

CA

Dec 31, 2019

could be split in two courses to be given enough focus. it was very condensed and needed more time and explanation in each section. The instructor was very good but more details would have been nice

筛选依据：

3251 - Machine Learning with Python 的 3260 个评论（共 3,260 个）

创建者 lauren p

•

Aug 28, 2019

Final project is way too vague

创建者 Nitendra P

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Feb 5, 2025

Not working: very frustrating

创建者 PRATHVIRAJ A C 2

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Nov 16, 2025

certificate is missing

创建者 Hassan M A

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Sep 20, 2025

Not Recommended.

创建者 Barla S

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Aug 14, 2025

no certificate

创建者 Xe B

•

Jun 6, 2023

sub-par course

创建者 abo o

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Nov 10, 2024

chaos

创建者 Sabhavath N

•

Jun 28, 2024

waste

创建者 MD A K

•

Sep 15, 2021

GOOD

创建者 Ali H

•

Nov 12, 2024

no