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

4.7
18,300 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:

2676 - Machine Learning with Python 的 2700 个评论(共 3,262 个)

创建者 Amlan G

Jul 21, 2022

This is a very gd course for a student to learn ML with python

创建者 Subash L

Jun 26, 2021

Over all good. The lab results could be explained a bit better

创建者 KOSHAL K

Feb 10, 2020

It is best for beginners for introduction to machine learning.

创建者 Prakash R

Feb 10, 2019

This course helps me to get understand about Machine Learning.

创建者 Rajesh K

Mar 20, 2025

very good course,but it still feels like course taught by AI.

创建者 Mohamed K

Nov 19, 2024

pythopn coding execices should be graded at my point of view

创建者 Germán G

Apr 27, 2022

It is a good course, they could put more practical exercises.

创建者 Ashis G

Jun 27, 2020

A little more hands on training on the videos were necessary.

创建者 Nicolas D I A

Apr 14, 2023

It would be better to update the python code in each example

创建者 Erfan H

Apr 8, 2020

it was a good course for learning the usages of python in ML

创建者 Sathish K

Mar 13, 2020

It is good one,I learned basic concepts of Ml in this course

创建者 Carlos310123

Oct 3, 2024

Some explanations were superficial but this is a good start

创建者 WAQUAR A

Nov 25, 2022

It is good course but have little less mathematical aspect.

创建者 Lakshmi m s

May 16, 2020

this is best course for learning machine learning in python

创建者 Ana C H

Jul 31, 2019

I missed algorithms like random forest and ensemble Methods

创建者 Shruti j

Oct 5, 2020

must take thiis course if you want to learn ML thoroughly.

创建者 Shreenivas R D

Jul 2, 2020

Best course for beginners or to get better knowledge in ML

创建者 Tobias B

May 12, 2020

Course gives a good overview over differente ML techniques

创建者 Prince R

Apr 17, 2020

Covered important topics and hands on was pretty good too.

创建者 yavuz k

Jul 16, 2019

Very good structured course. Everything stepwise explained

创建者 David C

Nov 7, 2025

It's already dated and the context does not go very deep.

创建者 Soumyaraj C

Jun 1, 2024

Teacher was great with fairly comprehensible explanations

创建者 yogita

Mar 5, 2022

the ml labs should be video based rather than documented.

创建者 srijani c

Oct 2, 2021

challenging course good introduction to machine learning.

创建者 成美伊藤

May 1, 2020

This course is one of the most worthiest contents for me.