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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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2276 - 2300 of 2,925 Reviews for Machine Learning with Python

By Mohitkumar R

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Jan 12, 2019

Great course, SO much information and great excercise, In Captone project project guidance need improve,otherwise great course

By Katja M

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Apr 22, 2021

It was a hard class - the concepts made sense but it is hard to figure out how to use them without more programming examples.

By Vedang D

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Jun 10, 2024

Great Course to get an understanding of Machine Learning in Python with no background knowledge needed. Cheers to Learning!

By Baptiste M

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Nov 18, 2019

Very complete course yet full of typos even in the datasets. Lots of information were redundant but an overall great value.

By Eric H

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Dec 20, 2018

After taking Andrew Ng's ML course, I still learned some new things here, but this course is rather shallow in comparison.

By Mitchell K

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May 25, 2021

This course was a great refresher from my data mining course in college, but I think some topics need to be expanded upon

By raviteja g

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Nov 22, 2019

A pretty good course to get familiar with supervised learning. Topics on unsupervised learning were moderately explained.

By Stephane A

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Apr 29, 2020

I learned a lot and I understood the different clustering algorithms to organize the data like DBSCAN, K-Means and more.

By 9058_Nishtha S

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Oct 11, 2024

Good for quick overview of some of the basics of introductory Machine Learning. More focused on theory and definitions.

By Ravindra D

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Nov 19, 2019

This course gives an introduction to machine learning by giving brief about algorightms such as KNN, Random forest etc.

By Zachary J

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Jan 18, 2025

I'm not a fan of their notebooks. I prefer the DataCamp model. However, the videos were easy to understand and follow.

By ­김준현

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Jan 16, 2022

it is all good but I cannot seem to create IBM Cloud account for some reasons... you guys have got to fix this problem

By Dusan R

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Jun 9, 2022

Week 6 was a bit chaotically organized. Overall, I really liked this course and would recommend it to other learners.

By Ankit A

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Mar 15, 2019

Course study material is excellently organized and presented in crystal clear way, which makes it easy to understand.

By Hrishikesh K

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Dec 22, 2023

The content of course is good but , Add more practice material so that learner can able to applied it to real world.

By Jeevanandam D

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Oct 30, 2021

Good knowledgeble course. Can me modified with simple programming tasks for people with zero programming knowledge.

By Vasiliki T

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Dec 12, 2020

A more demanding peer graded assignment would be an interesting thought for the future! :) thanking you in advance!

By Daksh J

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May 19, 2020

Nice and easy to learn for basic of machine learning.

Concept are explain in nice way with the help of good example

By Daniel P

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Aug 2, 2024

interesante el curso aunque no me llego el certificado con honores apesar de que envie el trabaja y fue calificado

By Dhanaraj N

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Jul 12, 2022

It's excellent course for beginners with theory and practical hands on training, really enjoyed it while learning.

By Chandra R

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May 18, 2019

It was exciting and tough course. Lots of materials were covered in the module which at sometimes felt exhaustive.

By Santhosh R B

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Apr 7, 2020

Would have been more interactive if the grading was done after each and every week through assignments.

Thank you

By Thiago C

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Apr 14, 2020

The course is good but I will need to start at a beginner level in order to consider reapplying to this course.

By Jorge T

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Sep 23, 2022

An excellent opportunity to get your hands-on Pyhton and its ML libraries. More practical than theoretical.

By Suhan R

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Jan 11, 2020

The course is too short or rather a bit on the lighter side. Expected a bit more heavy and rigorous content.