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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:

2626 - Machine Learning with Python 的 2650 个评论(共 3,260 个)

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.

创建者 Miguel D V G

Aug 3, 2020

This course gives the tools to know more about data processing and analysis.

创建者 Vasu J

Jul 16, 2020

Wish you would explain the code as well but otherwise a great starter course

创建者 Abhishek S

May 25, 2020

all in all a good beginner level course. the assignment was really enriching

创建者 venkatesh v

Dec 28, 2019

one of the crisp course and should have included ensemble algorithms aswell.

创建者 Suresh C

Oct 30, 2019

the course is best for those who want to enter in the field machine learning

创建者 Rayane B

Apr 29, 2023

I really enjoyed this course. Very good introduction to machine learning :)

创建者 LAYEEQ A

Dec 24, 2021

Videos seems very fast, it is a little bit difficult to grasp first time.

创建者 leo s g y

Nov 28, 2020

it's basic for the beginning and provide the real environment to practice.

创建者 Jose M D C

May 22, 2024

Buen Curso, lo lleva al conocimiento del aprendizaje automaticocon python

创建者 Desabandhu P

Jul 4, 2023

Recommender system is removed unfortunately..It should be included again.

创建者 Vivek K G

Apr 28, 2020

Well, the theoritical teaching was good but average practical experience.

创建者 Peve B

Feb 14, 2025

C'était vraiment une expérience enrichissante merci a toute l'équipe....

创建者 Escape K

Nov 11, 2024

I am somewhat new to Python and the lab is a very great feature to have.

创建者 Muhammad H B R

Aug 27, 2024

The videos are a little slow paced. Otherwise, the content is very good.

创建者 Graham T

Mar 21, 2024

A beginner-frienldy course and a great way to get into Machine Learning.

创建者 reshi u

Feb 25, 2024

amazing , 4 * only because I wished the final exam were really tough :-)

创建者 Priyanshu C

May 1, 2020

Lab sessions are difficult with less explanations. Hope you work on it!!

创建者 Fulvio C

Nov 26, 2019

The lab are very important in this module, the video should be updated..

创建者 David Z

May 7, 2020

Could be more beginner friendly, and explain further, but great course!

创建者 Apurv A S

Mar 30, 2020

Lectures are good but there are not much hands on Practice Assignments.