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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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18,084 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.

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!

筛选依据：

1001 - Machine Learning with Python 的 1025 个评论（共 3,228 个）

创建者 Pravin K

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Jun 24, 2020

Helped a lot in getting a better understanding of Machine Learning

创建者 Lautaro P

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Jun 19, 2020

Great for initiate in ML skills. Very coloquial and well explained

创建者 Vitor A

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Jun 3, 2020

Excellent content, good to start using the ML libraries of python.

创建者 Edward M

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May 7, 2019

more practice and in-depth tutorials would be better for beginners

创建者 Bakyt N

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Feb 18, 2019

A great introduction to Machine Learning with Python. Thank you!!!

创建者 Santiago A R G

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Jan 16, 2025

It's a very good introduction to Machine learning world in Pyhton

创建者 Phan M P

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Jul 23, 2024

Great content for beginner level jumping in Machine Learning area

创建者 Paul C

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Aug 24, 2023

Very good coverage of the basics of Machine Learning with Python.

创建者 David N

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Dec 21, 2022

It is a very good course to start your career in machine learning

创建者 Sukriti G

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Mar 12, 2022

the certificates are unavailable also after completing the course

创建者 Song W

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Jan 17, 2022

Highly recommended course for those learning Machine Learning !!!

创建者 Barnaby D

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Nov 2, 2021

Best course in the IBM Data Science Professional Specialisation!

创建者 Angel R A

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Jul 11, 2021

Great balance between theory and practice. A nice path to follow.

创建者 Satish V

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Aug 23, 2020

Very good course. All the essential topics are covered very well.

创建者 Muthu M H

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Feb 3, 2020

Great course to learn Machine Learning. The labs were phenomenal.

创建者 Pilar L

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Aug 28, 2019

Very clear and useful. A lot of information, very well explained.

创建者 Dennis A

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Nov 3, 2025

Not easy and the assignments are not simple. The Labs are great.

创建者 Muhammad A A

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Jul 5, 2023

The best course to learn the modules regarding machine learning.

创建者 Gustavo A M C

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Jan 2, 2023

It is a very complete course on ML in Python. Highly recommended

创建者 Sarina K

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Nov 23, 2021

Interesting tasks and good instructions. Timelines appropriate.

创建者 Manjiri S

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May 26, 2021

Very good starter for those who want to excel machine learning.

创建者 Kim M

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Feb 5, 2021

A challenging and essential element of problem solving in Python

创建者 Thilina P D G

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Feb 3, 2020

It has been an incredible journey so far! Thanks IBM & Coursera!

创建者 Dipesh S

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Jan 29, 2020

thank you so much for this course, I really enjoyed this course.

创建者 Jun Y

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Nov 24, 2019

Very detailed introduction of basic machine learning algorithms.