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

4.7
18,298 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

RN

May 25, 2020

Labs were incredibly useful as a practical learning tool which therefore helped in the final assignment! I wouldn't have done well in the final assignment without it together with the lecture videos!

NN

Dec 29, 2019

This is a very good start for Machine leaning with Python. I didnt have much idea about ML concepts but this course gave me great understanding on each topic and lot of learning. Awesome Course !!

筛选依据:

976 - Machine Learning with Python 的 1000 个评论(共 3,260 个)

创建者 Mohannad D

Jul 26, 2022

Very informative, straightforward explanations! in short, I loved it!

创建者 Isaac A

Mar 17, 2020

It was a great experience and i came out of it feeling more confident

创建者 AKSHAY K C

Mar 4, 2020

Good course with spot-on explanation for beginners and medium-experts

创建者 Junsoo P

Jan 16, 2020

A great, short class for hands-on Python skills for machine learning.

创建者 Carmelo E V

Dec 11, 2019

Very useful for understanding machine learning algorithm and approach

创建者 hassan s

Aug 20, 2019

What an Experience, There is lot information learned in this session.

创建者 Chap M

Aug 9, 2019

I learned a lot about model optimisation as well as model evaluation.

创建者 Jithin T

Jul 31, 2019

The learning experience was awesome. I have learned many MI concepts.

创建者 Navneeth P

Sep 4, 2024

it was so simple and tailored specially for beginners. great course.

创建者 vipin p

Apr 13, 2023

thanks to coursera and all IBM mentors for the wonderful teaching.

创建者 Rubén R M

Feb 27, 2023

A good course for begginers in machine learning. I've learned a lot.

创建者 Graciano P

May 10, 2021

Learned to use IBM Watson for machine learning models. Great course!

创建者 Lakshya C

Oct 14, 2020

Very Good Course. Learnt a lot from this course. Best for begineers.

创建者 Manav J

Jul 5, 2020

Great course, for getting your hands on Machine Learning algorithms.

创建者 Alexandre d C P

May 12, 2020

Opening a new perception in what we can do with data. Keep studying.

创建者 Deryan T

Feb 18, 2020

Definitely the most difficult, but I learnt so much from this course

创建者 krunal t

May 22, 2019

Really great course and astonishing work by coursera,IBM and Saeed.A

创建者 Shubham V

Nov 14, 2018

Concepts used in machine learning are explained in very good manner

创建者 Robert R C R

Oct 6, 2025

Curso muy completo con ejemplos y ejercicios muy dinámicos y buenos

创建者 Hansamalee e

Jul 8, 2024

Best course for beginners who love to learn about machine learning.

创建者 Dr. R K S

Jun 19, 2021

Very Interesting and Informative course with more hands on sessions

创建者 Vivek M

Mar 28, 2020

Very useful. Thanks to both instructors for organised presentations

创建者 Sriram R

Feb 16, 2020

Well designed course with hands-on coding tutorials and assignments

创建者 Raju T

Jan 24, 2020

It is wonderful platform to learn Machine Learning and Data science

创建者 Bagus C P

Feb 20, 2025

this courses have a good approach both theory and its applications