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

4.7
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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：

2726 - Machine Learning with Python 的 2750 个评论（共 3,260 个）

创建者 Rafi O

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Jun 21, 2020

Great course. Some errors need to be fixed though.

创建者 Benjamin L

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Oct 30, 2019

The final assignment was not as good as I expected

创建者 Veeram R S S

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Jun 21, 2020

it would be good if there were coding assignments

创建者 Chiara P M

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May 18, 2019

good machine learning overview. Good first course

创建者 Sai K K

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Jul 30, 2021

creates more interest while learning this course

创建者 Aravindreddy S

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May 31, 2022

it is good and very knowledgable to the student

创建者 Anand G

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Aug 20, 2020

This is a very good course for machine learner.

创建者 Robson A

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May 22, 2020

This was a good introduction to ML with python.

创建者 Suprith R G

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Jun 10, 2019

It should need more explanations on code cells.

创建者 dhanushree g

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Jun 5, 2019

still we need better way of understanding labs.

创建者 Wonjae J

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Sep 27, 2024

Wish more practical assignments were provided.

创建者 Torben G

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Nov 29, 2023

Easy to follow. Could use some spell checking.

创建者 Apurva r

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Jul 18, 2020

Its best course to start with machine learning

创建者 Jadhav J N J

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Apr 22, 2020

This course has everything that fresher needs.

创建者 swati k

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Aug 19, 2019

Course Content is very good, well explained !!

创建者 Nivedha R

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Sep 27, 2023

One mandatory hands-on would have been better

创建者 Ahmad S A

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Jun 16, 2020

A bit difficult to understand the assignment.

创建者 Shoaib S

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Mar 22, 2020

Recommended for machine learning using python

创建者 Victor A P

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Jul 29, 2019

Good guide through the ML different subjects.

创建者 Zhichen S

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Mar 12, 2019

Instruction upon final assignment is unclear.

创建者 Avinash K

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May 18, 2019

There is need of more videos and mathematics

创建者 Reza B

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Nov 3, 2024

Final project didn't have much explanation.

创建者 Ishfaq A A P

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Jun 2, 2023

nice but must share a tutorial on using lab

创建者 YIFAN H

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Oct 12, 2019

课程讲的内容帮助我们理解了其中的原理，不过作业要用code打的步骤没有教，感觉没有头绪

创建者 Sutanu B

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Jul 19, 2019

Okay, but the programs should be explained.