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

4.7
17,995 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

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.

RC

Feb 6, 2019

The course was highly informative and very well presented. It was very easier to follow. Many complicated concepts were clearly explained. It improved my confidence with respect to programming skills.

筛选依据:

2576 - Machine Learning with Python 的 2600 个评论(共 3,224 个)

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 !

创建者 Lenin B K

Dec 16, 2022

it covers all the fundamentals of the machine learning, good for beginners..

创建者 carlo t c

Apr 25, 2021

good material. But the grading system is not satisfactory. It's peer graded.