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Learner Reviews & Feedback for Machine Learning with Python by IBM

4.7
stars
16,798 ratings

About the Course

Python is one of the most widely used programming languages in machine learning (ML), and many ML job listings require it as a core skill. This course equips aspiring machine learning practitioners with essential Python skills that help them stand out to employers. Throughout the course, you’ll dive into core ML concepts and learn about the iterative nature of model development. With Python libraries like Scikit-learn, you’ll gain hands-on experience with tools used for real-world applications. Plus, you’ll build a foundation in statistical methods like linear and logistic regression. You’ll explore supervised learning techniques with libraries such as Matplotlib and Pandas, as well as classification methods like decision trees, KNN, and SVM, covering key concepts like the bias-variance tradeoff. The course also covers unsupervised learning, including clustering and dimensionality reduction. With guidance on model evaluation, tuning techniques, and practical projects in Jupyter Notebooks, you’ll gain the Python skills that power your ML journey. ENROLL TODAY to enhance your resume with in-demand expertise!...

Top reviews

FO

Oct 9, 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.

RC

Feb 7, 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.

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2751 - 2775 of 2,925 Reviews for Machine Learning with Python

By Chen Y

Mar 27, 2019

The lectures that are longer than 5 minutes are hard to tolerate.

By Rangappa N

Feb 28, 2019

Programming works need to be added,Quiz need to graded for free

By Nijatullah M

May 8, 2021

instead of implementing the algorithm more explanation on math

By Abd-Elrhman M (

Jul 5, 2020

everything was out of scope it was just a brief of every thing

By intissar b

Nov 18, 2024

I completed all the module which I doesn't take a certificate

By Aravind P

Jun 12, 2020

Theory part was awesome. But not much of practical knowledge

By Stefan A

Jun 6, 2020

Lab is working bad so a lot of time is waisted with waiting.

By Anas J

Jan 22, 2025

Very limited knowledge regarding multiclass classification

By Ahmed A

Oct 21, 2024

you better spend more time on teaching how to write codes!

By Sean G

Jan 22, 2023

Many labs in Jupiter Lab portal did not work correctly.

By Shamik K

Jan 2, 2021

It will help to add more clarity on the final exercise.

By Ramsrinivas A

Jan 17, 2020

Theoretical portion was shallow compared to Lab portion

By Hunter I

Apr 21, 2020

Learned a little bit, want more real world application

By Oana L

Jan 28, 2021

Course is quite good but very basic not intermediate.

By SHAONI C

Dec 2, 2019

needs more clarification on classification algorithm

By lorenzo a

Feb 12, 2020

soooo many typoes and small mistakes in this course

By H A H

May 19, 2020

this is good course about basic machine learning..

By Haykel S

Dec 26, 2019

The Correction of assignment is not very correct.

By Nicolas B

Sep 12, 2024

No summary, glossary, or seeing our quiz answers

By Bao P

Aug 23, 2023

Just the basis. I want more focus on the coding

By YuxinFeng

Dec 24, 2020

final assignment表述不够明确,整个课程内容都非常形式化,lab都是直接调包

By Minh L N

Aug 15, 2020

The course should have been designed better

By Reginaldo B

Oct 9, 2020

It should be splited in two larger courses

By RAHUL D

Oct 27, 2023

Lab material are not getting installed

By Abdul R

Mar 28, 2020

Labs Are not responding it sucks a lot