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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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401 - 425 of 2,926 Reviews for Machine Learning with Python

By Jakub

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Nov 26, 2022

Great course, even though I have been learning ML algorithms for almost two years I was shown something new, that improved my understanding on the topic.

By Sandip K M

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Jul 25, 2020

The Byte size videos are really great starter for a beginner in Machine Learning and gives a generic overview of the methods and Tools used in ML and AI.

By Carlos C

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Jul 27, 2019

This is exactly what I was looking for. The course is simple and it gives you enough math to understand what's going on under the hood of each algorithm.

By rohan j

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Jul 24, 2020

It was a great Course given By IBM and Provided by coursera. I got great Knowledge through it and going to implement in my project work and my career.

By Hemanth S

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Jun 13, 2020

One of the best planned courses in Coursera, especially cause of the instructor and the way he handled the course work. This is so pleasing and gripping

By Samira G

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Mar 16, 2020

Such a useful and informative course. Thank you from Mr Saeed Aghabozorgi and everyone who was involved to prepare this course. I proud of you Mr Saeed.

By Zafar A

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Mar 1, 2020

I have learned a lot from this course. Everything was explained very well and i would recommend this course for those who are learning machine learning.

By David L

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Aug 3, 2022

Great course. Some courses are too superficial and lack any depth. Others go too far into the weeds. This one had a good balance. Highly recommend.

By Adithya R

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Jul 26, 2020

Great Course for Understanding the Fundamentals.

Could understand the implementation of Various algorithms in Python.

Well structured and Awesome Course.

By OSORNO O R J

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Oct 30, 2024

Siento que hacen falta aplicaciones más detalladas de las posibilidades del machine learning, sin embargo proporciona bien una vision general del area

By Aniruddha G

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Apr 20, 2020

Fantastic course. In one week, I learnt more about Supervised and Unsupervised ML algorithms than I had learnt in four months of an university course.

By Dia e L

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Jan 31, 2020

Thanks a lot for these information there were really helpful and i have understood those machine learning concepts also how to apply them using python

By Wilton B

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Sep 29, 2019

This was my favorite IBM specialization course, well explained and very interesting.

This course has inspired me to study Machine Learning more deeply.

By James M

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Nov 20, 2022

A very good course and a challenging one. Don't underestimate the review time needed to retain what you learn. There's a lot packed into this course.

By Adarsh K P

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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.