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学生对 IBM 技能网络 提供的 使用 Python 进行机器学习 的评价和反馈

13,631 个评分


Get ready to dive into the world of Machine Learning (ML) by using Python! This course is for you whether you want to advance your Data Science career or get started in Machine Learning and Deep Learning. This course will begin with a gentle introduction to Machine Learning and what it is, with topics like supervised vs unsupervised learning, linear & non-linear regression, simple regression and more. You will then dive into classification techniques using different classification algorithms, namely K-Nearest Neighbors (KNN), decision trees, and Logistic Regression. You’ll also learn about the importance and different types of clustering such as k-means, hierarchical clustering, and DBSCAN. With all the many concepts you will learn, a big emphasis will be placed on hands-on learning. You will work with Python libraries like SciPy and scikit-learn and apply your knowledge through labs. In the final project you will demonstrate your skills by building, evaluating and comparing several Machine Learning models using different algorithms. By the end of this course, you will have job ready skills to add to your resume and a certificate in machine learning to prove your competency....



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.


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.


1951 - 使用 Python 进行机器学习 的 1975 个评论(共 2,377 个)

创建者 Alexios M

Mar 13, 2021

Well-structured course. It drives you stop-by-step in most cases.

创建者 Nitai S

Dec 8, 2021

notebook setups for final projects could have been much better.

创建者 mohd z

Jun 22, 2021

Awesome course with excellent content and Project based learning

创建者 Ayushman S

Apr 6, 2020

Some concepts were hurried. But jypyter notebooks are very good.

创建者 Abhinav K

Mar 2, 2019

A complete package for those who want to start from the stratch

创建者 Tien C B

Jan 4, 2023

There are a few misleading and vague questions in the content.


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


Feb 11, 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 Germán G R

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 Erfan H

Apr 8, 2020

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

创建者 Sathish K

Mar 14, 2020

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


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

Jul 31, 2019

I missed algorithms like random forest and ensemble Methods

创建者 Shruti j

Oct 6, 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 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.