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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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18,298 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

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!

NN

Dec 29, 2019

This is a very good start for Machine leaning with Python. I didnt have much idea about ML concepts but this course gave me great understanding on each topic and lot of learning. Awesome Course !!

筛选依据：

1101 - Machine Learning with Python 的 1125 个评论（共 3,260 个）

创建者 Carolina R

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Apr 13, 2020

El mejor curso que he realizado hasta ahora, me encantó !

创建者 Amit L

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Mar 6, 2020

Best course with hands-on labs to learn Machine learning.

创建者 Nelson C B

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Dec 15, 2019

A good overview of the main techniques and good resources

创建者 Aayush M P

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Nov 26, 2019

Helps to build a strong introduction to Machine Learning.

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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Mar 14, 2026

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.