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Learner Reviews & Feedback for Machine Learning with Python by IBM

4.7
stars
15,281 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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2076 - 2100 of 2,670 Reviews for Machine Learning with Python

By Alonso h g

•

Oct 25, 2021

I think the methodology is outdated. But the bases are the same. It is remarkable that they teach how the algorithm and formulas work.

By Shivam S

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Nov 7, 2020

Very fascinating course but exercises like final project will be more for exposure to real coding than it will be really more helpful.

By Roman S

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Jun 9, 2020

Course content and presentation is really good! The only thing i would add is the tuning of hyperparamaters which makes ML what it is.

By SUSHANT B P

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May 3, 2020

Great course but there should be videos where there is need of explanation on code as well, codes given are very good and covers basic

By Mallangi P R

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Jan 27, 2020

I really liked the course content, way of teaching and assignments.

This will definitely help a beginner in data analysis to start with

By Beatriz E P

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Jan 28, 2021

Very nice course!! You learn a lot more of the theory than the practice part, but the concepts are well explained and I learned a lot

By manasa k

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Feb 22, 2021

A good course to quickly learn important aspects of ML with Python. The assignments and final exam is also very useful for learning.

By fang f

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Jul 11, 2020

quite good at the explanation and un-graded exercises.

But the knowledge could be deeper and more about parameters in Sklearn APIs.

By Ankit M

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Jul 25, 2019

Goodone for anyone who's a beginner in this field. But I personally suggest you to take the Data Analysis with Python course first.

By Raffaele N

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Sep 13, 2019

Although not extremely detailed in the model optimisation part of the work, it is a very useful way to get started on applied ML.

By Sadanand U

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May 2, 2019

Gives a good overview of regression and classification algorithms . It could have been expanded to other ML algorithms as well.

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 Baptiste M

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Nov 17, 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 21, 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 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 ­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

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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 21, 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!