In this course, you will: a) understand the basic concepts of machine learning. b) understand a typical memory-based method, the K nearest neighbor method. c) understand linear regression. d) understand model analysis. Please make sure that you’re comfortable programming in Python and have a basic knowledge of mathematics including matrix multiplications, and conditional probability.
Hi thank you for your amazing course I learned a lot. That was so useful for me and this course gave me very good training and was expressed in very simple language
Very help full and good explanation in every part of lecture
Good fundamental course that gives you basic idea about what machine learning exactly is !!
Good foundational knowledge. I think some of the reading assignments overlap. I wish the reading assignments were all in the same font/format or from the same text - but that's just me being picky.
The course is very good and it fulfills its objectives.
It helps me to clear basics topic of machine learning. Got a lot of insights about knn , logistic regression and linear regression.
This one is tge best course on ML basic, but there are something to improve is many basics are skipped.
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Good But the certificate includes as Non-Credit , this should needs to been removed.
The Machine Learning Basics course is an outstanding introduction to the foundations of machine learning. Taught by Andrew Ng, a renowned expert in the field, this course is ideal for anyone looking to learn about machine learning from scratch.
The course is structured in a way that makes it easy to follow and understand, even for those with no prior experience. Andrew Ng does an excellent job of breaking down complex concepts and explaining them in a clear and concise manner. The course covers a range of topics, including supervised and unsupervised learning, linear regression, logistic regression, neural networks, and more.
One of the highlights of the course is the programming assignments. These assignments are challenging but rewarding and help students gain hands-on experience with implementing machine learning algorithms in Python. The quizzes and assignments also provide instant feedback and help students reinforce their learning.
Thank you..
Hi thank you for your amazing course I learned a lot. That was so useful for me and this course gave me very good training and was expressed in very simple language
It helps me to clear basics topic of machine learning. Got a lot of insights about knn , logistic regression and linear regression.
Good fundamental course that gives you basic idea about what machine learning exactly is !!
good course, but the speaking style of teacher is quite hard to understand for me.
Very help full and good explanation in every part of lecture
The course is very good and it fulfills its objectives.
Helps in building the basics of ML
very useful for my carrier
best course for beginners
bngffffffffffff
Such a good one
outstanding
interesting
thank you
Better
good
rtt
Good foundational knowledge. I think some of the reading assignments overlap. I wish the reading assignments were all in the same font/format or from the same text - but that's just me being picky.