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Learner Reviews & Feedback for Machine Learning with Python by IBM

4.7
stars
16,540 ratings

About the Course

Get ready to dive into the world of Machine Learning (ML) by using Python! This course is for you whether you want to advance your Data Science career or get started in Machine Learning and Deep Learning. This course will begin with a gentle introduction to Machine Learning and what it is, with topics like supervised vs unsupervised learning, linear & non-linear regression, simple regression and more. You will then dive into classification techniques using different classification algorithms, namely K-Nearest Neighbors (KNN), decision trees, and Logistic Regression. You’ll also learn about the importance and different types of clustering such as k-means, hierarchical clustering, and DBSCAN. With all the many concepts you will learn, a big emphasis will be placed on hands-on learning. You will work with Python libraries like SciPy and scikit-learn and apply your knowledge through labs. In the final project you will demonstrate your skills by building, evaluating and comparing several Machine Learning models using different algorithms. By the end of this course, you will have job ready skills to add to your resume and a certificate in machine learning to prove your competency....

Top reviews

FO

Oct 8, 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 6, 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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401 - 425 of 2,877 Reviews for Machine Learning with Python

By Adarsh K P

May 25, 2020

Exceptionally great course content. The Labs are the place to learn a ton. The course was challenging and I enjoyed it a lot. Thanks Coursera and IBM

By BASHIR B

Apr 28, 2020

Learnt a whole lot of analysis building ML models for different data sets.

Thank you so much for the learning opportunity granted through this medium.

By Ronan B

Feb 21, 2020

This course covers a lot of Machine Learning elements. The labs are easy to understand and practical. It'sa good practical start to Machine Learning.

By Karan J

Apr 28, 2023

Amazing course. Totally worth it! I learned a lot from it. Hopefully It helps me in acing my careeeer. Thank you intructors for this amazing course.

By Dnrk c

Sep 21, 2022

This overall course experiance is good, We will learn a lot of new things. It will be outstanding if they could make it more clear in the concepts.

By Antonio M G

Feb 10, 2021

Very very instructive and excellent driven for learning the most well-known Machine Learning algorithms using Python. I would strongly recommend it

By Alaa F

Jan 24, 2021

Very well structured, Jupyter notebooks are provided as a support including code and explanation/summaries of the used algorithms. Highly recommend.

By Mallikarjun K

Oct 12, 2020

Best Machine Learning Course!.

But make sure to learn basics, data visualization, and data manipulation with python before enrolling in this course.

By Gabriella T

Oct 6, 2020

This course allowed me to implement the already-known machine learning algorithms with Python language which I didn' t know! This helped me a lot!!!

By Shoaib M

Jun 15, 2020

This course has helped me a lot in clearing the doubts regarding Machine Learning algorithms. I strongly recommend this course to every ML beginner.

By Federico N

May 22, 2020

Well done and structured work! I strongly suggest this course. The main teacher is really skilled at explaining such a complex topic in an easy way.

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 14, 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.