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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:

526 - Machine Learning with Python 的 550 个评论(共 3,223 个)

创建者 Ogbonnaya O

Jul 25, 2020

This course clearly gave me the insights of data analysis. It also help me to know more about IBM cloud computing. I am impressed

创建者 Deleted A

May 25, 2019

Really well structured course with the right amount of guidance without excessive hand holding due to which the learning is real!

创建者 Gopala R

Nov 18, 2018

Real informative and challenging! A lot of technical things taught and the final assignment was very interesting and challenging.

创建者 Leo S

Jan 5, 2023

One of the best courses to learn about Machine Learning with Python. All the topics are very well explained with good examples.

创建者 Raghunath T

Oct 3, 2022

This course pushed me out of my comfort zone and helped me realise as well as achieve my potential when it comes to porgramming.

创建者 Deleted A

Feb 19, 2022

The professor was clear and concise in explaining concepts, very great course and Im glad a took it. Well done IBM and Coursera!

创建者 Sampriti p

Sep 4, 2021

I really like this course. I have learned a lot from this course. It's really helping me. Personally, I recommend this course!

创建者 Shahab J

Feb 10, 2021

Great course which explains the fundamental of ML algorithms.

However, if would be more beneficial if you have python background.

创建者 Samuel A O T

Jun 28, 2020

It was an awesome experience on this machine learning platform. The experience gained is very useful for real world applications

创建者 Shivam M

Dec 21, 2019

Awesome course to hands on learning of machine learning algorithms such as k-nearest neighbor, recommender systems for a layman.

创建者 DIPANKAR S

Nov 3, 2019

The course was very explanatory and the professor was teaching in a very unique way. Really thankful to course era and the prof.

创建者 Ravi S

May 9, 2020

I like the fact that there is ample amount of practical exercises that implies you are not going to forget these things easily.

创建者 Ramanujam K

Apr 29, 2020

An engaging course that covers the core concepts across various areas in ML and provides the right level of hands-on exercises.

创建者 Siba P C

Jul 13, 2019

Good course for getting started with basics. Carry on your self-study after this course to get even better at machine learning.

创建者 sergey k

Feb 19, 2019

Dear all.

It would be grate if you will add roc-curver and ordinal regression examples into this corse.

Sincerely, Sergey Kutenko

创建者 Kumar D

Oct 25, 2024

Directed towards subject matter concerned and very much learner friendly. Thanks to the team members who developed this course

创建者 CƠ T Q

Oct 2, 2023

I'm pretty happy with this course. It's helping me open up my knowledge and take a different look at data-related disciplines.

创建者 Cosmas N

Jun 30, 2023

This is one of the best introductory courses anyone can take to launch your tech career. I got value from Coursera every time.

创建者 Usha G

Jan 26, 2021

Videos and Labs are designed in a way that a candidate will learn very easily. Thank you the Coursera Teaching & backend Teams

创建者 Israel S

Sep 4, 2019

It was a complicated course, but I acquired very valuable practical knowledge about programming to implement Machine Learning.

创建者 Shagun P

Dec 3, 2025

Machine Learning with Python is a great beginner-friendly course. The concepts are explained clearly with practical examples.

创建者 Bruno T A H

Aug 28, 2020

Excellent content and really impressive to learn the basics of machine learning, clustering and complex data science insights

创建者 James D

May 26, 2020

This course is excellent.

I want to share the Quizzes of Week 2 and Week 4. Some questions should add "Select all that apply."

创建者 AMAN C

Mar 2, 2019

Wonderful course with hands on the basics of the machine Learning algorithms and supervised learning is beautifully explained

创建者 Shobhit G

Jul 24, 2025

a bit difficult for new learners have to give a bit of timer and be dedicated to complete otherwise can be challenging a lot