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

4.7
18,273 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.

FO

Oct 8, 2020

I'm extremely excited with what I have learnt so far. As a newbie in Machine Learning, the exposure gained will serve as the much needed foundation to delve into its application to real life problems.

筛选依据:

2601 - Machine Learning with Python 的 2625 个评论(共 3,255 个)

创建者 Sudhir S

Dec 2, 2018

More videos would have helped to understand concepts of subject better to apply in lab

创建者 Sanjiv S

Apr 24, 2025

I'm very satisfied with this specialization course. I upgraded my skills in AI and ML

创建者 Robert F

Aug 2, 2020

The final test portion was a little rough. Finally got the test to work successfully.

创建者 anas m r

Aug 2, 2020

A great introduction for ML, but you have to exert effort to understand the lab codes

创建者 Meijuan Z

Mar 22, 2020

Should include more details of ML algorithm, but is nice to people who are new to ML.

创建者 Miguel A M

Sep 8, 2025

Demasiada estadística para los programadores, me ha costado mucho algunos conceptos.

创建者 Ammar S

Sep 2, 2024

Overall is good. Maybe improvement in terms of simple introduction to deep learning.

创建者 Sadabrata K

Mar 22, 2020

Random Forest Classifier is not included. Everything else is very good. Nice course.

创建者 Devraj S

May 1, 2020

It will be more helpful if this course has a more detailed explanation of the codes

创建者 Eden P

Apr 11, 2020

Really enjoyed this one. Quite challenging in places however rewarding nonetheless.

创建者 HUSENI N G

Mar 19, 2020

VERY GOOD SYLLABUS & COURSE MATERIAL

VERY GOOD SUPPORT FROM COURSERA SUPPORT TEAM.

创建者 Naomi R

May 16, 2022

Great course but it would be good if it covered the preprocessing of data as well

创建者 Dhaivat P

Apr 18, 2020

It is a very good course and the instructor is so good you get code to practice on

创建者 Eric B

Jan 20, 2020

Good introductory course covering most of the basic ML algos. Wish it covered NLP.

创建者 Labib F

Apr 23, 2025

A great course indeed. Gives a clear idea about algorithms and evalution metrics.

创建者 K A N D U L A V E N K A T A H E M A N T H

Oct 4, 2020

This course is very hepful to build a carrer and update yourself with the skills

创建者 Akshita M

Jun 11, 2020

This course is indeed a nice course where one can achieve basic knowledge on ML.

创建者 NISHCHAY K

May 18, 2020

Lab is a bit difficult at times but videos explaining the concept are very good.

创建者 Ninad M K

Jul 22, 2020

This course was good and it teaches me how to use machine learning with python.

创建者 Ashutosh v

Dec 13, 2019

very awesome course for intermediate level......thanks coursera and instructors

创建者 Pranav N

Jun 13, 2025

All the content and learning is goodd!!! easy to understand + real world usage

创建者 NANCY N V R

Feb 19, 2024

Buen material. Solo tuve problemas en los labs porque no pude correr el codigo

创建者 Swapnil K

Sep 2, 2020

All the topics are nicely covered with examples and it really helped me a lot.

创建者 Ankit K S

Feb 12, 2020

Great explanation, nice ungraded tools.

But should have more graded assignments

创建者 PAWAN P

Nov 12, 2023

very very good program, it helpful for the new journey.. thanks ##coursera !