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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：

1101 - Machine Learning with Python 的 1125 个评论（共 3,228 个）

创建者 Vivek k

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Aug 21, 2019

Great course. You can go with your own pace that's best .

创建者 Jyoti S

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Jun 29, 2019

Absolute marvel to begin for machine learning enthusiasts

创建者 Vishal K J

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Apr 17, 2019

Nice course to start with Machine Learning for beginners.

创建者 René

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Feb 19, 2019

Great course, gives good grounds to advance data science.

创建者 Tamer Z

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Nov 26, 2023

It was really useful, easy to follow and well organized.

创建者 Julio T

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Sep 10, 2023

Such a great Course! The IBM cloud part was my favorite!

创建者 Viraj N

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Feb 6, 2023

Great course with exposure to lots of algos and datasets

创建者 Amir V

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Jun 19, 2021

A very good course to take alongside Andrew Ng's course

创建者 Александр М

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Mar 8, 2021

This is very interested and useful course. Thanks a lot.

创建者 Mohammad S

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Mar 2, 2021

Exceptional course for introduction to machine learning.

创建者 Namrata D

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Jun 16, 2020

Really nice course, clear understanding of the concepts.

创建者 Mateusz D

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May 20, 2020

It satisfied my expectation. Nice beginner level course.

创建者 Biswajit M

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Feb 8, 2020

A well designed course and it was an amazing experience.

创建者 Haardik J

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Aug 26, 2019

why i m not able to submit it asks for upgrade to submit

创建者 fodouop k c

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Jun 18, 2019

i've learned so much on this course ....

very interesting

创建者 Lawrence K

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May 22, 2019

Really engaging plus deep insights and practical support

创建者 Boidik D

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Mar 8, 2019

Quality and best course for machine learning with python

创建者 RISHABH P

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Aug 31, 2024

THIS COURSE IS VERY HELPFULL FOR THE PLACEMENT PURSPOSE

创建者 Duy T

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Feb 9, 2024

The course is very informative and useful. Many thanks!

创建者 Yashar j j

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Dec 13, 2022

Really Good and must be say thank u to IBM and Coursera

创建者 J M

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Oct 7, 2022

Easily the best course of the IBM Data Science series.

创建者 hossein s

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Aug 4, 2022

very good course, as good as andrew ng's course!!

thanks

创建者 Alvaro F J L

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Jul 1, 2022

Challenging, but very fullfilling once you complete it.

创建者 Nikhil B

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Jan 25, 2022

Content is very good and excercises have great quality.

创建者 Gaurav S

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Feb 15, 2021

Excellent course to start machine learning using python