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Learner Reviews & Feedback for Machine Learning with Python by IBM

4.7
stars
16,810 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

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.

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.

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426 - 450 of 2,926 Reviews for Machine Learning with Python

By Krishna M

Mar 29, 2020

This is one of the best course which I have taken. The basics were explained very greatly, and also it is very simple to understand the course work.

By Mohammed E

Nov 6, 2019

Really good and knowledgeable professor. Very well put together presentations and labs. Everything is just perfect. I highly recommend this course.

By Tirth R

Feb 15, 2021

It would more amazing if the instructor would share snippets and explain the code along in ppt rather than making a separate lab for implementation

By Isabelle W

Nov 4, 2022

Great course, I found it to be very engaging and it gives you the opportunity to learn, and practice what you have learned in exercises and exams

By SEONGJIN C

Nov 17, 2020

The course contents were just right to follow easily, and practices were good enough to learn new skills. Thanks to the instructors and the team.

By Abhishek P G

Jul 7, 2020

The course has introduced me to various tools that are very useful to my training. I could explore using them to make my lesson more interactive.

By Pankaj S

Mar 12, 2020

It was fantastic learning experience knowing some many traditional machine learning statistical tools and the mathematics behind these algorithms

By Parisa S

Jul 23, 2019

Great course! Enjoyed both videos and practice labs. Strongly recommended for people who know Python and want to get started on machine learning.

By Amrizal S D b A S

Jun 4, 2023

Really really good training and notes and the speaker are very good at explaining these topics. Recommended that others try to seek this course.

By Анастасия Л

Apr 22, 2022

Probably the best course in the specialization. I really enjoyed the labs. A lot of useful information. Many thanks to the authors of the course

By Juan M H T

Jan 9, 2021

Great introduction to Machine Learning algorithms. Hands-on labs are perfect to see them in action and the whole content is very well explained.

By Sundas L

Jun 15, 2020

I would recommend data science enthusiasts to take this course. I got a deep understanding of machine learning by working on real-life datasets.

By Georgios L

May 3, 2020

This is the best course in the IBM Data Science series, the course teacher is very good in communicating principles and explaining what matters.

By Phạm T S

Sep 7, 2019

This course is great, helping me master the knowledge regarding algorithms in machine learning.

Thank you very much Professor SAEED AGHABOZORGI.

By RICHARD D

Feb 12, 2020

This Is One of the best Course In Machine learning so far. Tutorial Very Brief and practical. Very interactive lab. Thanks to Coursera and IBM.

By Tareq A

Mar 30, 2019

Really its fully rich course, explains every aspect of machine learning algorithms and their implementation in Python Language.

Thank You at all

By Ssentumbwe E

Apr 17, 2020

The first time I tried to learn machine learning, it scared me. This course made is the best introduction to the subject that I have ever got.

By Victor B D

Apr 2, 2020

this was one of the most difficult courses I took and it was very worth all the content and very good and the exercises are very well prepared

By Robert

Feb 7, 2020

An excellent course, covering multiple machine learning algorithms which allow you to compare and contrast their strengths and methodologies.

By Gil D L

Jun 18, 2020

The final assignment is a bit unclear with grading but overall great course. Learned a lot with the applications of python in data analysis.

By Aneta B

May 2, 2020

The course is an excellent introduction to Machine Learning. It is balanced in terms of theory and practice, and the workload is manageable.

By Philippe D

Oct 21, 2019

Very informative course. The lectures were very professional and the structure of the course and the notebooks were all very well presented.

By Amber P R

May 20, 2019

A good course designed nicely and recommended for beginners as it is very easy to understand and practical assignments are really effective.

By Gary T

May 6, 2019

This course changed my life and view about Python and Data Analytics. I wish everyone could take this course. Grateful to IBM and Coursera.

By Yuchen Y

Nov 3, 2024

From basic to implement, with knowledge and real dataset and algorithms. not only tell us the ideas, but also help us coding and training.