Chevron Left
返回到 Machine Learning with Python

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

4.7
18,296 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

TG

Sep 24, 2020

Excellent course for beginners to data science field. Would have been better if the final project also included flavor of other ML methods such as Regression, Clustering or Recommender Systems.

CA

Dec 31, 2019

could be split in two courses to be given enough focus. it was very condensed and needed more time and explanation in each section. The instructor was very good but more details would have been nice

筛选依据:

2676 - Machine Learning with Python 的 2700 个评论(共 3,260 个)

创建者 Subash L

Jun 26, 2021

Over all good. The lab results could be explained a bit better

创建者 KOSHAL K

Feb 10, 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 Rajesh K

Mar 20, 2025

very good course,but it still feels like course taught by AI.

创建者 Mohamed K

Nov 19, 2024

pythopn coding execices should be graded at my point of view

创建者 Germán G

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 Nicolas D I A

Apr 14, 2023

It would be better to update the python code in each example

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 13, 2020

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

创建者 Carlos310123

Oct 3, 2024

Some explanations were superficial but this is a good start

创建者 WAQUAR A

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 H

Jul 31, 2019

I missed algorithms like random forest and ensemble Methods

创建者 Shruti j

Oct 5, 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 David C

Nov 7, 2025

It's already dated and the context does not go very deep.

创建者 Soumyaraj C

Jun 1, 2024

Teacher was great with fairly comprehensible explanations

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.

创建者 劉啟迪

Mar 13, 2019

Great online course for Machine Learning! very practical!