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Retour à Supervised Machine Learning: Regression and Classification

Avis et commentaires pour d'étudiants pour Supervised Machine Learning: Regression and Classification par

1,891 évaluations

À propos du cours

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....

Meilleurs avis


16 juil. 2022

It is the Best Course for Supervised Machine Learning!

Andrew Ng Sir has been like always has such important & difficult concepts of Supervised ML with such ease and great examples, Just amazing!


4 juil. 2022

Andrew Ng is the best proctor for Machine Learning. The course has been perfectly balanced with thoritical as well as practical aspects. After this course I feel so confident. From ZERO to HERO

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176 - 200 sur 494 Avis pour Supervised Machine Learning: Regression and Classification

par 20I218 - H S

22 juil. 2022

I learnt a lot from this course, thank you Andrew Ng sir! I look forward to complete other courses in this specialization.

par Akshay U

10 août 2022

I learned very much deep knowledge of linear regression and logistic regression in this course in easiest way . thank you


31 juil. 2022

The course content is really awesome and the lab assignments helped me a lot to understand about the concepts discussed .

par 7014-Amit K e

31 juil. 2022

This course helped me a lot to understand about machine learning algorithms and how to apply them in practical scenarios

par anand k

25 juil. 2022

The course provides an easy way to learn Machine Learning on which a good future could be built. Thanks Andrew Ng & Team.

par Shivaraj S

20 juil. 2022

I am happy about that i know the concept of the machine learning and I able to do the code on the that using mathematics

par Mahwiz K

6 juil. 2022

The course has been updated very well, Python makes the tutorials much easier to follow, All of you did an excellent job.

par Bharath I

4 juil. 2022

Very well structured course with very interesting coding assignments. Andrew ng's explainations crystal clear as always.

par marlon

25 juin 2022

Excellent. Andrew and his team developed a great introduction, where you can feel comfortable at any level of knowledge.

par Samuel Z

29 juil. 2022

Very gentle introduction to ML concepts.

Definitely a great starting point for beginners looking to get their toes wet.

par naichuan z

16 juil. 2022

I​ have learned Machine Learning in class, but this course gave me a more intuitive understanding of machine learning.


9 juil. 2022

course gives in depth understanding of codes running in background and that too in a very easy to understand methods.

par Ali S

16 juil. 2022

C​omplete materials/explanations on machine learning fundamentals.

A​n enjoyable course to participate.

T​hanks Dr. Ng

par Muhammad S

25 juil. 2022

B​est course on supervised machine learning by one of the best instructors. It is nither too simple nor too complex.

par Michelle d S S

24 juil. 2022

Excelent. The interactive examples in python make it easier to understand. Congratulations for this excelent course.

par 최재민

12 août 2022

Absolutely impressive lectures and supporting materials.

Two thumbs up to the main instructor and the co-workers !!!

par Laís S L

30 juin 2022

Lectures and exercises are very well explained and easy to follow. Thank you Andrew Ng for this excellente course.

par Raghavendra l

22 juil. 2022

precise and clear, all the details were very well explained by Andrew. Thanks for providing such wonderful course.

par Wisal M

7 août 2022

Well designed and excellently organized contents!

Math part was exquisite, I understood it although I didn't xd.

par Brigitte D

19 juil. 2022

It's a good starting point for a Machine Learning journey and I help you to start refreshing your Python skills.

par Yoshihito T

13 juil. 2022

It was easy to understand even for beginners, and even if I was not good at math, I enjoyed learning to the end.

par Vu T

6 juil. 2022

This course explained so many concepts I found difficult before starting it. 5/5. Thank you very much Coursera!

par Aldo L G C

31 juil. 2022

It is better than the previous version in octalab, keeping clear explanation and more interactive with Adrew.

par Gina H

1 août 2022

A great course to start your journey into the fields of  Machine Learning. Andrew Ng is the best ML teacher.

par Cyrus K C

10 août 2022

B​rilliant course, really helps to get under the hood of the subject and Andrew Ng is an amazing teacher.