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Learner Reviews & Feedback for Machine Learning with Python by IBM

4.7
stars
16,552 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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476 - 500 of 2,880 Reviews for Machine Learning with Python

By Samuel A O T

Jun 28, 2020

It was an awesome experience on this machine learning platform. The experience gained is very useful for real world applications

By Shivam M

Dec 21, 2019

Awesome course to hands on learning of machine learning algorithms such as k-nearest neighbor, recommender systems for a layman.

By DIPANKAR S

Nov 3, 2019

The course was very explanatory and the professor was teaching in a very unique way. Really thankful to course era and the prof.

By Ravi S

May 9, 2020

I like the fact that there is ample amount of practical exercises that implies you are not going to forget these things easily.

By Ramanujam K

Apr 29, 2020

An engaging course that covers the core concepts across various areas in ML and provides the right level of hands-on exercises.

By Siba P C

Jul 13, 2019

Good course for getting started with basics. Carry on your self-study after this course to get even better at machine learning.

By sergey k

Feb 19, 2019

Dear all.

It would be grate if you will add roc-curver and ordinal regression examples into this corse.

Sincerely, Sergey Kutenko

By Kumar D

Oct 25, 2024

Directed towards subject matter concerned and very much learner friendly. Thanks to the team members who developed this course

By CƠ T Q

Oct 2, 2023

I'm pretty happy with this course. It's helping me open up my knowledge and take a different look at data-related disciplines.

By Cosmas N

Jun 30, 2023

This is one of the best introductory courses anyone can take to launch your tech career. I got value from Coursera every time.

By Usha G

Jan 26, 2021

Videos and Labs are designed in a way that a candidate will learn very easily. Thank you the Coursera Teaching & backend Teams

By Israel S S

Sep 4, 2019

It was a complicated course, but I acquired very valuable practical knowledge about programming to implement Machine Learning.

By Bruno T A H

Aug 29, 2020

Excellent content and really impressive to learn the basics of machine learning, clustering and complex data science insights

By James D

May 27, 2020

This course is excellent.

I want to share the Quizzes of Week 2 and Week 4. Some questions should add "Select all that apply."

By AMAN C

Mar 2, 2019

Wonderful course with hands on the basics of the machine Learning algorithms and supervised learning is beautifully explained

By Shalini G

Jul 21, 2023

The course was very helpful. I could not stop learning. I am looking forward to complete the whole program from IBM Coursera

By Prasanna K

Jun 30, 2021

Real-time project labs help a lot. Highly Preferable for those who are looking to learn ml topics using python in less time.

By Eldar J

Oct 15, 2020

It's very clear and really easy to understand the main point of ML. It would be really nice if you have already know Python.

By Rajat G

May 22, 2020

An exceptional course and just what i was looking for. Explained all the concepts in detail and the lab work was really good

By Aditya C

May 6, 2020

Learnt a great amount of details about Classification, Regression models and specific algorithms to solve modern challenges.

By Ankit P

Apr 5, 2020

This course is best for beginners to start with machine learning using python. I recommend beginners to go with this course.

By Angeliki C

Mar 26, 2020

Great Videos, fantastic lab sessions! It has been the best course so far! Congratulations and many thanks to the instructors

By Eva M

Feb 19, 2020

Really enjoyed this course! It is one of the few that explains how Machine Learning algorithms actually work in simple terms

By Devaashish S

Jan 3, 2020

Hard work, patience and perseverance is the only key to success. Never give up, keep typing harder one day it will be yours.

By Ahmad M B

Dec 21, 2019

Very good course. Highlighted basic need to start Data Science career at the same time give direction for future development