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Back to Supervised Machine Learning: Regression and Classification

Learner Reviews & Feedback for Supervised Machine Learning: Regression and Classification by DeepLearning.AI

4.9
stars
19,398 ratings

About the Course

In the first course of the Machine Learning Specialization, you will: • Build machine learning models in Python using popular machine learning libraries NumPy and scikit-learn. • Build and train supervised machine learning models for prediction and binary classification tasks, including linear regression and logistic regression The Machine Learning Specialization is a foundational online program created in collaboration between DeepLearning.AI and Stanford Online. In this beginner-friendly program, you will learn the fundamentals of machine learning and how to use these techniques to build real-world AI applications. This Specialization is taught by Andrew Ng, an AI visionary who has led critical research at Stanford University and groundbreaking work at Google Brain, Baidu, and Landing.AI to advance the AI field. This 3-course Specialization is an updated and expanded version of Andrew’s pioneering Machine Learning course, rated 4.9 out of 5 and taken by over 4.8 million learners since it launched in 2012. It provides a broad introduction to modern machine learning, including supervised learning (multiple linear regression, logistic regression, neural networks, and decision trees), unsupervised learning (clustering, dimensionality reduction, recommender systems), and some of the best practices used in Silicon Valley for artificial intelligence and machine learning innovation (evaluating and tuning models, taking a data-centric approach to improving performance, and more.) By the end of this Specialization, you will have mastered key concepts and gained the practical know-how to quickly and powerfully apply machine learning to challenging real-world problems. If you’re looking to break into AI or build a career in machine learning, the new Machine Learning Specialization is the best place to start....

Top reviews

JM

Sep 21, 2022

Specacular course to learn the basics of ML. I was able to do it thanks to finnancial aid and I'm very grateful because this was really a great oportunity to learn. Looking forward to the next courses

AD

Nov 23, 2022

Amazingly delivered course! Very impressed. The concepts are communicated very clearly and concisely, making the course content very accessible to those without a maths or computer science background.

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2151 - 2175 of 3,988 Reviews for Supervised Machine Learning: Regression and Classification

By Munib H

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May 7, 2024

Awesome Course it hepled me alot to increase my skills

By Sujal L

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May 5, 2024

It covers the indepth concepts of supervised learning.

By Ayman K

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Apr 27, 2024

A good startup course for non experienced AI advocates

By Ashutosh R

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Apr 24, 2024

Wonderful training. Provides a solid foundation in ML.

By PARTH T

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Apr 22, 2024

A brilliant course to start your A.I. journey. Period.

By Gireeraj W

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Mar 24, 2024

really easy to understand course and very well taught!

By THEN A

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Mar 20, 2024

Very informative course with hands-on lab experiences.

By Jeff S

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Jan 11, 2024

Absolutely outstanding. Very high quality throughout.

By Sahil K S

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Nov 27, 2023

good for beginners who would like to learn this course

By Fortuna

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Oct 19, 2023

Really great way to gain intuition on machine learning

By FAISAL A

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Oct 14, 2023

I highly recommend this course to take for ML journey.

By Arjun B

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Oct 2, 2023

Awesome Course. Perfect for someone beginning with ML.

By Emily E

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Sep 10, 2023

Perfect course for anyone looking to enter in AI field

By Sawan K S

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Aug 1, 2023

Great course to get started in Machine Learning space.

By Issaac R

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Jul 25, 2023

Excellent course Prof. Andrew Ng. Thank you very much.

By Abdullah A

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Jul 15, 2023

The course is very interesting and engaging. loved it.

By Sameer A

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May 2, 2023

great course. if you're into ML start with this one..

By Damien G

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Mar 29, 2023

Excellent introduction to supervised machine learning.

By SYED M H S

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Mar 1, 2023

course was awesome a beginner like me learned a lot !!

By Ankit V

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Feb 24, 2023

Great course for beginners and has great explanations.

By saiprasad k

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Jan 15, 2023

Very well-structured course and well taught by Andrew.

By Ghiffary R

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Nov 29, 2022

Detailed and satisfying! Thank you Andrew Ng and Crew!

By Gurugovind G

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Oct 20, 2022

Good course provided with good explain with example's

By Anjali T

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Oct 16, 2022

Optional Labs help a lot, the explainations are goos.

By Aditya G

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Oct 10, 2022

Well explained, well paced course with excellent labs