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

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18,077 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

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.

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!

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2251 - Machine Learning with Python 的 2275 个评论（共 3,227 个）

创建者 GOGI R S V V T C

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Nov 3, 2021

GOOD

创建者 kamlesh C

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Oct 11, 2021

good

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Sep 18, 2021

good

创建者 Neha B

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Sep 1, 2021

nice

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Aug 31, 2021

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Aug 22, 2021

best

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Aug 11, 2021

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May 28, 2021

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Apr 21, 2021

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Apr 3, 2021

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Nov 5, 2020

good

创建者 BARATHKUMAR G

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Oct 2, 2020

BEST

创建者 Sitavra H

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Aug 31, 2020

Nice

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Aug 31, 2020

Good

创建者 Noushad M

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Aug 14, 2020

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Jun 12, 2020

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May 24, 2020

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Apr 1, 2020

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Mar 30, 2020

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Mar 9, 2020

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Feb 6, 2020

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Jan 12, 2020

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Dec 3, 2019

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Sep 9, 2019

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Mar 4, 2019

Good