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

4.7
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.

FG

Aug 28, 2019

Very informative course, showing mostly how to use many different Machine Learning techniques. Although mathematical details are not discussed much, the intuition of the methods are discussed.

筛选依据:

801 - Machine Learning with Python 的 825 个评论(共 3,228 个)

创建者 Diego G

Mar 27, 2025

¡Excelente curso! Claridad en la exposición y ejemplos abundantes. Dinámico y conciso.

创建者 Zulqrnain A

Feb 21, 2023

A good course to have a review of the machine learning algorithms and python libraries

创建者 Joyanto R C

Oct 30, 2021

Excellent Course and especially I am fond of the experts from IBM teaching the course.

创建者 Siwei L

Apr 24, 2020

Good introduction to machine learning. A time cosuming but practical final assignment.

创建者 Ruchika M

Mar 30, 2020

Very good explanation of the concepts. Lab work is also comprehensive and very useful.

创建者 CHIN W L

Dec 12, 2019

Excellent machine learning introduction and python library for basic machine learning!

创建者 Keshav U

May 26, 2022

Excellent course and very nicly explaining my mentro,very useful and very good course

创建者 Dustin E

Sep 2, 2021

Tons and tons of information is covered. And lots of labs to do in this course! Nice!

创建者 RAVI J

Aug 17, 2020

This course teste me the machine learning it mikes to learn more in machine learning

创建者 GOKHAN E

May 13, 2020

Great course! Really to the point, informative, technical enough, with good examples.

创建者 Prakash G

May 3, 2020

Good explanation about classification algorithms. Looking forward to have challenges.

创建者 Maurício C B

May 2, 2020

Objetivo, direto, simples e útil. Explica com exatidão cada elemento a ser aprendido.

创建者 17_028 S I

Apr 6, 2020

The assignment was very much efficient and the lecture was very much understandable.

创建者 Anthony S

Mar 2, 2020

This content of this course was very hard going but very useful. Thank you very much.

创建者 BIBHUTI B B

Jan 28, 2023

This course worth every penny who wants to clear his basics in data science journey.

创建者 Ben M

Jul 30, 2020

Great overall exposure to some machine learning techniques and how to evaluate them!

创建者 Marco M W

Jul 16, 2020

Excellent course. A little hard on the math but at the end of the day... this is it!

创建者 李亦婷

Jun 24, 2020

I love this course. It help student develop basic understanding about ML and Python.

创建者 Pratik K

May 25, 2020

It give me a headstart to dive into machine learning with sufficient basic knowledge

创建者 Agnieszka K

Apr 5, 2020

Great course to learn methods behind machine learning and relevant coding in python.

创建者 Lingjun K

Jun 3, 2019

I have appreciated the course instruction and the challenge in the final assignment!

创建者 raman r

Feb 26, 2019

It was easy to learn machine learning concepts using jupyter notebooks in IBM cloud.

创建者 Francisco M

Sep 29, 2025

Excellent material, advanced content and immersed Machine Learning and AI concepts.

创建者 Harold C

Sep 15, 2022

Very detailed course with lots of hands-on exercises. I learned and enjoyed a lot.