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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:

426 - Machine Learning with Python 的 450 个评论(共 3,221 个)

创建者 Daniel F T S

Mar 30, 2023

curso increíble sencillo, la tarea con honores fue al punto, y aunque temas un poco pesados, para alguien con experiencia en ingeniería o matemáticas no tanto,

创建者 Ihsandi D

Jan 7, 2021

Very good introduction course.

I think it can be much better if there is any alternative on displaying decision trees since the anaconda libraries always crash.

创建者 Aditya M

Nov 12, 2020

Data Analysis with Python and ML are the best courses in the IBM certificate, the course is well laid out, the labs are excellent and the capstone is hands-on.

创建者 Germain M P

Dec 12, 2019

Great Course! The instructors are simply awesome and the text, slides, graphics and exercises were manifestly meticulously prepaired. I can just recommend it!

创建者 Appala N

Jul 27, 2019

Very interesting subjects like intro with ML, regression model principles , classifications, KNN, Decision tree, clustering , recommender systems with ML.

创建者 Abhishek D

Jun 24, 2021

Wonderful Course for beginner and intermediate level student. It gives a complete overview of Machine learning and in-depth knowledge required for the domain.

创建者 Bertrand B

Mar 26, 2020

This course is very well defined, with lots of information and samples for each topic, one after the other. The video are interesting, the instructor is good.

创建者 Lee Y Y

Feb 11, 2020

I really like the machine learning algorithms practice and teaching materials. Better to include some new packages (e.g. Tensorflow) to give us a taste of it.

创建者 Aadil S

Jul 7, 2024

Great course! Taught a lot about various ML models. Has a lot of labs as well which gives you coding experience with sk learn and numpy to build said models.

创建者 Yury K

Jun 10, 2020

I liked the course.

The setup of the environment for the final assignment was not the smoothest one, but nevertheless I enjoined the study and the challenge.

创建者 Arpana G

Aug 11, 2019

Its nice to learn Machine Learning with python. Its very informative and useful course. I would highly recommend to everyone todo this course.

Regards,

Arpana

创建者 Deleted A

Jan 30, 2022

This is one of the most detailed course I've ever seen please get this course and support the coursera community for bringing such great courses together.

创建者 Asieh B

Dec 23, 2023

It is an amazing course. This course is for you whether you want to advance your Data Science career or get started in Machine Learning and Deep Learning.

创建者 Mehmet U Ö

Jul 19, 2023

it was amazing, the course started from a beginner level explanation and built its way up through professional machine learning methods and how they work.

创建者 Justin H

Mar 27, 2023

Very good explanation of various models. Instructor is clear and the examples are easily understood. This is teaching. I learnt a great deal with ease.

创建者 Kaushik J

Jun 1, 2020

Nice one. it is better if we get class notes in pdf and ppt format. In addition if the final assignment is reviewed by coursera expert, it will be better.

创建者 Jakub

Nov 26, 2022

Great course, even though I have been learning ML algorithms for almost two years I was shown something new, that improved my understanding on the topic.

创建者 Sandip K M

Jul 25, 2020

The Byte size videos are really great starter for a beginner in Machine Learning and gives a generic overview of the methods and Tools used in ML and AI.

创建者 Carlos C

Jul 27, 2019

This is exactly what I was looking for. The course is simple and it gives you enough math to understand what's going on under the hood of each algorithm.

创建者 rohan j

Jul 24, 2020

It was a great Course given By IBM and Provided by coursera. I got great Knowledge through it and going to implement in my project work and my career.

创建者 Hemanth S

Jun 13, 2020

One of the best planned courses in Coursera, especially cause of the instructor and the way he handled the course work. This is so pleasing and gripping

创建者 Samira G

Mar 16, 2020

Such a useful and informative course. Thank you from Mr Saeed Aghabozorgi and everyone who was involved to prepare this course. I proud of you Mr Saeed.

创建者 Zafar A

Mar 1, 2020

I have learned a lot from this course. Everything was explained very well and i would recommend this course for those who are learning machine learning.

创建者 David L

Aug 3, 2022

Great course. Some courses are too superficial and lack any depth. Others go too far into the weeds. This one had a good balance. Highly recommend.

创建者 Adithya R

Jul 25, 2020

Great Course for Understanding the Fundamentals.

Could understand the implementation of Various algorithms in Python.

Well structured and Awesome Course.