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zakruti.com » IT - Software » freeCodeCamp.org
Machine Learning Course for Beginners

Machine Learning Course for Beginners

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Rating: 4.0; Vote: 1
Learn the theory and practical application of machine learning concepts in this comprehensive course for beginners. - Course website with learning resources: https://antern.co/pages/ml001.html - Code: https://github.com/ayush714/ML001-Project-Sources-Code-and-Learning-Materials https://github.com/ayush714/ML001-Project-Sources-Code-and-Learning-Materials -- Course developed by Ayush Singh. https://www.youtube.com/c/neweraa
Date: 2022-03-14

Comments and reviews: 10


I don't think it is good to label this course as machine learning for beginners.
While this course contains a lot of information about machine learning and will surely be beneficial for people who want to learn about the subject, the teacher uses a lot of technical jargons which is totally unknown to BEGINNERS.
I believe that it is more appropriate to teach people about the meaning of these technical words before using them to explain machine learning.
Another approach would be to limit to the minimum the use of the technical words as this should only be a machine learning for beginner course.

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Great Ayush! -
You are the next Sundar Pichai and Satyam Nadela.-
This is what I found the basic gap in our primary education system. I also came from the same place but at the Age of 15, I was wondering how to clear my 10th Exam, and during graduation at 21, not able to write proper C-Programming.-
Just see his achievement and way of teaching style at 15. Thanks to his Mom and Dad for great learning to his son. Excellent Ayush.. God bless you-
Wish you for your bright future.

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I just want to point out, while this course is amazing, and it's crazy how much this dude knows (I mean, he looks like 16 years old or something), there's quite a lot of inaccuracies in the equations and way he formulates problems. Makes me think he -memorised- the maths, rather than actually try to understand them.
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I found a crazy error for changing the random_state variable in train_test_split (01:35:48). If you are not choosing random_state = 42 you'll get a key_error if you want to call y_test[0]... but how and why?? This should only be a seed for a random generator.
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In LInear Regression , the cost funtion is 1/m - (summation of square of difference between ground value and predicted value).But in the tutorial you wrote 1/m + (summation part). Change it. Other than that your video is awesome.
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Hi
Thanks for the tutorial.
Its perfect, but is there any chance that I could get a some document with all these formulas with definitions, as for some reason, I can-t understand the handwriting?
Thank you again

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Great teaching skills!! Hats off!
I am not able to find the assignments page from the links in description can someone help me with it please? the programming assignment mentioned at 1:07:18
Thanks in advance!

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Who else ran to the comments when they saw the instructor? I had to sent a link of the course to my former ML instructor who was finding it difficult to explain the difference between a model and a feature.
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i am working on my final year thesis where i have to use random forest regressor but it is unable to work with float type datatype so is there any way i can do this without converting it to int ? please reply
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I've just started ML (supervised) at the age of 21 after having a mathematical degree. I feel ashamed after watching this video but happy cuz this guy explains things better than my PhD teacher .
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