Machine Learning for Everybody – Full Course

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Information Machine Learning for Everybody – Full Course

Title	:	Machine Learning for Everybody – Full Course
Lasting	:	3.53.53
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What would be some disadvantages for adaptive lasso and adaptive elastic net?
Comment from : Salt&Sea *!

Anyone know what note taking software she is using here?
Comment from : Mesosphere

You'd be good at real estate
Comment from : Kwesi Bruno

It's not that easy though, you need to have some basic understanding of maths and python programming, also the libraries used
Comment from : Lakshmi Anirudh Reddy B

Someone please tell me which programming language she is using, and whether Machine learning in this way can be done on MATLAB
Comment from : Voxtur

A great introduction into machine learning, even brfor someone who may not be much familiar with Machine brLearning can learn a lot
Comment from : Mohmmed Alqahtani

38:35
Comment from : Ritam Chakrabortty

can we download the PowerPoint slides, please?
Comment from : SamGazer

Dang was really looking forward to taking this course but they must have removed the file from the UCI website 😞
Comment from : Cameron Buswell

i have a datset of 9 column target is churn can anyone get more than 85 accuracy brif you want the dataset i'll mail you or any other way beacause yt wont let me drop links in the comments!!
Comment from : spyder

Carnival much?
Comment from : Kwesi Bruno

Very cool as I dont have much to say I am a very beginner I understood the theory but not algorithms of course Thanks for the video
Comment from : Kabi Joshi

I love it! I must say this is one of the most comprehensive and well structured videos I've watched lately! Big kudos to Kylie!
Comment from : Konstantin Yovkov

Thanks a lot for the video It's very useful
Comment from : Alok Pandey

Can anyone explain to me why 'y_test' values are considered as truth values and why they are compared to 'y_pred' values at 54:25 ?
Comment from : abhitej kalangi

my tamer
Comment from : Kwesi Bruno

Nice!
Comment from : Sikandar Ali Abdul

Should I Go Machine Learning with JavaScript?brbrBecause javascript is mine love languagebrbrWhats do you suggest me
Comment from : Zeeshan Elia

muy buen curso , muchas gracias
Comment from : UBER VR

I'm very bad at coding and have a hard time following this from 31 minute Could someone recommend me some easier course appropriate for beginners?
Comment from : Timi Babič

Whats up you lady
Comment from : Ivan Jurleta

Brilliant work by a brilliant lady Thanks
Comment from : longfloat

I gave my computer dog treats and nothing happened
Comment from : Tony Tana

i said okey everytime she said okay ?
Comment from : abdo fred

Lower quality than what I am used from freecodecamp too bad for an important topic
Comment from : marcello42

Great explanation of the principles but, as a how-to course, totally useless The cryptic typing on the dark screen is totally meaningless without a "user's reference manual" to explain in detail what each one of these cryptic codes means, what it does, what format it expects the data to be in and what format the results come out in, where to put the dot and where to put the parenthesis WHERE IS this reference manual? Without it, this is not a "Full course"
Comment from : Ding An Sich

should i learn numpy and panda before i start the course ?
Comment from : am4 _m03

excellent
Comment from : mehdi smaeili

Is there a feature on mobile to bookmark where i left off in this video? 1:57:00 🤷🏻‍♀️brbrEdit: finished Thank you for the wonderful video
Comment from : Allan Evans

tahbks you sirr
Comment from : Yogindar Patel

34:01
Comment from : Pranav Sreerag

12:48 😂😂😂😂😂😂😂😂😂😂😂😂😂😂😂😂😂😂😂😂😂😂😂😂😂😂😂😂😂😂😂😂😂😂
Comment from : DILIP REDDY

THANK YOU for making her course available on this channel !!!!!!! 👍😃👍
Comment from : drout

When she said "hot dog or not hot dog" I just remembered Jin Yiang's (Silicion Valley) hotdog app I really laughed, good one 😁 Great lecture by the way!
Comment from : Danladi Retzam

Please provide in Hindi language please sir
Comment from : knowledge world 🌍

Prerequisite to watch the video
Comment from : ask to stranger 🤝

@33;32, it's weird, my results show only blue, I wonder why
Comment from : Ravi Jagannadhan

Thanks Kylie Ying and FreeCodeCamp!
Comment from : Leela Sankhar M

ummmm, geat but definitely not for everybody
Comment from : urizen

This is by far the best intro to machine learning I have ever come across!
Comment from : Kelethabetse Roberts

This brings the Boring to a whole new level
Comment from : Goldie Music

Can you please provide the Ppt Which might be helpfull for learning the theories
Comment from : Soumyajit Das

Thank You
Comment from : Siddhartha Pradhan

She teaches so good Not to forget that fast typing ASMR music to my ears 🤩
Comment from : Sayantan Das

Hello I like
Comment from : Man Aldi

Well explained lecture that covers all the basics of ML usung interesting examples I can remember (hot dog 🌭/ not hot dog 18:06 ) classification example has a funny story, qouted from Silicon valley 😂😂brbrThanks so much 🙏
Comment from : Mukhtar Isak

Are decision trees covered in this video
Comment from : 20UME033 Vishal Dutta

Beautiful, thanks for sharing
Comment from : Frederik Bonde

The best introductory machine learning video!brI have tremendous respect for KyliebrI think it is the clearest and easiest to understand explanation in the worldbrThank you so much
Comment from : kg fpv

1:11:43
Comment from : Aayush gupta

17:58
Comment from : Jester Delantar

sensational video could have more practicebrDo you have videos with more practice?
Comment from : Luyz Correa

please speak chinese
Comment from : robin yang

I LIKE YOUR TEACHINGGOOD JOB !!!
Comment from : NONTON GRATIS

I am sorry that I cannot give this video more than 1 like It is really very clear Thanks a lot
Comment from : T E

thanks for sharing the material
Comment from : LeoJack

Wow I like
Comment from : Man Aldi

This course is surely not for the beginners !!
Comment from : Muhammad Waqas Hafeez

best course
Comment from : Ahmed Yousuf Ibrahim

Let's gooo
Comment from : Mawfyy

Woow, this course is amazing It's presented in a such approachable and undestandable way Thank you for creating this content
Comment from : Josip Subašić

bruhhhhhhh
Comment from : thereal_HK

If elon musk said AI will be the highest paying job, he didn't mean it will be the most required, only 5 percent that get a job in the Monopoly of AI will make money out of this
Comment from : JM

how about extreme learning machine?? can you make video about extreme learning machine?? and how to forecast stock using extreme learning machine in python??
Comment from : Madjid Faishal

One of the best video suitable for revision
Comment from : Lokaram Thabasu

Great video! Is there a way of downloading that good notes document?
Comment from : Andras

10 pregnancies at age 29 😢
Comment from : For My Eve

Absolutely amazing video, I have watched a lot of machine learning tutorials on youtube and this is by far the best one
Comment from : John Pringle

This is not ML for everybody This is ML for Python pros who know messing around with numpy, Pandas and has core programming fundamentals
Comment from : Pranav

ValueError: `logits` and `labels` must have the same shape, received ((None, 10, 32) vs (None,)) How do I solve this please?
Comment from : Kelvin- Air

I do not understand the need for the getxy function in Linear regression part especially the deepcopy part, please elaborate on what was the need to create that function
Comment from : nooBOTic

2:50:16 / 3:53:52
Comment from : Aryan Panja

Got to appreciate her coding skills here Thank you so much for sharing, Kylie, and freeCodeCamp!
Comment from : Sai Paritala

Is this for a complete beginner? I couldn't understand single thing😭
Comment from : Siddhant Gurung

1:49:58 / 3:53:52
Comment from : Aryan Panja

Hmmkay!! XDbrbrThank you, amazing course (⁠✷⁠‿⁠✷⁠)
Comment from : Amit Parthasarathy

Before starting this lecture, someone tell me what's the prerequisite to learn it
Comment from : Prakash Choudhary

the video is really great, but I would suggest you to go slow while you actually type in the code
Comment from : Tarun Nair

Why did she make train, test and validation sets, can't we just go with train and test?
Comment from : Atharva Taras

33:00 - I now know why do we normalize things Thanks
Comment from : TrLoList

we cannot thank enough
Comment from : Ahmet Ertürkmen

Thanks for creating this awesome tutorial for free ❤
Comment from : Priyanshu Dutta

She so young to know all this stuff I wonder how she got the idea to be learning itbrbrThis video says for beginners but I feel like at least in the beginning so far she goes very fast I don’t know much about coding and feel that it might be best to have coding background I didn’t even catch the language she is using but didn’t look well either as I’m driving and this is on my phone brbrI’m trying to learn ML as an absolute beginner Someone whose only related experience is studying and coding about 2 months Python I know it can be done because people do it
Comment from : Scott Hernandez

What is the shortcut for editing multiple lines @2:53:44 that she is using?
Comment from : sappydev

Thank you so much!!! 👏
Comment from : Nguyễn Nhi

Big thanks for this tutorials
Comment from : 몸로스니

1:16:15 / 3:53:52
Comment from : Aryan Panja

27:55 / 3:53:52
Comment from : Aryan Panja

55:41 just making a bookmark
Comment from : Mikk0

I cannot even begin to describe how useful this video was for me Endless thanks for the priceless knowledge Kylie and freeCodeCamp provided This video seriously gave me an edge when it came to machine learning It organized all the abstract concepts I have been hearing about while also describing them perfectly I have learned SO much Thank you, thank you, thank you!
Comment from : commercial