amen, this is the way we can truly learn if we missed our window with college and costs because we also need to afford a living. and who remembers what they learned back then anyways.
You know I'm listening and following this machine learning concepts and I have every confidence that I will be producing brilliant work in the near future
for those who struggle following along, the data[features] should not have the "median_house_value", otherwise the r squared would be 1, perfectly fit, which is incorrect. She made a typo there, I suppose
When something is popular, it can make you give it a try. So maybe they follow trends--like you also probably do. At some point Python was at a point where it's so talked about, at some point React.js was, and many other things. These days AI is a big thing. They have many AI videos but probably thought it's right time to update.
Confirmation bias, where people actively seek out information that confirms their existing beliefs and ignore information that contradicts them, can lead to narrow perspectives and echo chambers.
Hi Tatev, absolutely great course! I've been following along and have one difference at the OLS summary. On mine, the dependent variable is correctly identified *median_house_value), however it is also shown in the second section with a coef of 1.0. Your summary doesn't have the target at all. I've been scrubbing back and forth to see where I did wrong but I think it's all the same. Can this be a statsmodel update or setting?
Start from data preprocessing & data transformation & data imputation techniques for better understanding It will be great if you explain with example data using Excel or Google sheets anyway it's good 👍
ValueError: could not convert string to float: 'NEAR BAY' replace "sns.heatmap(data.corr(), annot=True, cmap='Greens')" to "sns.heatmap((data.drop('ocean_proximity', axis=1)).corr(), annot=True, cmap='Greens')", i am new to this don't judge me
:2: FutureWarning: The default value of numeric_only in DataFrame.corr is deprecated. In a future version, it will default to False. Select only valid columns or specify the value of numeric_only to silence this warning. sns.heatmap(data.corr(), annot=True, cmap='Greens')
See how things are. I watched 4:19 hours of video on a subject that has nothing to do with me. This woman is beautiful... Now I'm in love and learned machine learning, a real data scientist
Are there any pre requisites before starting this course? And also how much maths do I need to know before starting this course or the tutor has taught the maths in this course??@@uniquexcelfashion2509
3:14:00 maybe you face this proplem when u creat a heat map "ValueError: could not convert string to float: 'NEAR BAY'" it's logically because the last column is strings not numbers so we need to exclude it from this heat map so try this code instead plt.figure(figsize=(12, 8)) sns.heatmap(data.iloc[:,:-1].corr(), annot=True, cmap='Greens') plt.title('Correlation Heatmap of Housing Data') plt.show()
Sorry but... I cannot find the housing.csv file in the sample_data folder. Can you pu it there again to do these practices? Thank you in advance. This course looks nice !!!
there are so many mistakes in the given code but the major one was at 3:23:53 I am unable to contact the dummies with the existing data frame and I am unable to find a solution if run the existing code in colab also we get so many errors
Mentioning all things u have to learn first sounds almost like a deterrence. Wouldn't it be better for u to just go ahead and teach and pauch when these topics become relevant?
Please never stop this Channel. You and your team are doing GODS work.
amen, this is the way we can truly learn if we missed our window with college and costs because we also need to afford a living. and who remembers what they learned back then anyways.
Thank You so much! I've waited such videos for long time.
You know I'm listening and following this machine learning concepts and I have every confidence that I will be producing brilliant work in the near future
And passing by to thank you for your great quality content for the development community! Real gratitude!
Nah this is just crazy I was about to start the 2023(?) ml course and y'all dropped this 😂❤❤
We require an extensive course that provides in-depth instruction on machine learning, supplemented with advanced projects🙏🙏
pay for it then
First time learning machine Ml
for those who struggle following along, the data[features] should not have the "median_house_value", otherwise the r squared would be 1, perfectly fit, which is incorrect. She made a typo there, I suppose
_90% of machine learning is data cleaning, and probably you will be a high paid _*_data janitor_*_ . So be prepared for that_
please elaborate, I'm a newbie😅
This channel is changing my life
We need a Practical Mathematics No-Nonsense Classical Machine Learning and Deep Learning Course
Nice course for beginners, although it was focusing on linear regression only, I wish other algos examples can be presented too.
don't waste your time she is not explaining anything .she is speaking as if we works for google
you really made me terrified and leave the machine learning in my not to do List .
This is an amazing opportunity to learn ML for beginners. Thank you very much for making this accessible for everyone.🙏💐♥️
Thank you so much for this❤❤❤ I love you DS even more each day and this channel 🙌🏻🙌🏻💪🏾🙏
This course is awesome. I was looking for such course from long time.
Thank you for someone who is understandable in english. Well done FCC ;-)
The real content starts at 46:40 with the meat of "Machine Learning Basics".
You guys are changing peoples lives!
How do you manage to always come with a course of whatever I'm learning at the moment? Thanks!
Easy. They use ML to gauge our interests. 😂
When something is popular, it can make you give it a try. So maybe they follow trends--like you also probably do. At some point Python was at a point where it's so talked about, at some point React.js was, and many other things. These days AI is a big thing. They have many AI videos but probably thought it's right time to update.
Confirmation bias, where people actively seek out information that confirms their existing beliefs and ignore information that contradicts them, can lead to narrow perspectives and echo chambers.
You guys doing such a good job, thanks for uploading 🤠👍
Wow , thank you so much for sharing the knowledge
This has been very helpful! Thank you so much, Tatev !
Hi Tatev, absolutely great course! I've been following along and have one difference at the OLS summary. On mine, the dependent variable is correctly identified *median_house_value), however it is also shown in the second section with a coef of 1.0. Your summary doesn't have the target at all. I've been scrubbing back and forth to see where I did wrong but I think it's all the same. Can this be a statsmodel update or setting?
Start from data preprocessing & data transformation & data imputation techniques for better understanding It will be great if you explain with example data using Excel or Google sheets anyway it's good 👍
we need basic understand maths course for machine learning and Data Scientist.
ALWAYS regression analysis using housing prices. I AM OUT OF HERE. Nothing new.
ValueError: could not convert string to float: 'NEAR BAY'
replace "sns.heatmap(data.corr(), annot=True, cmap='Greens')" to "sns.heatmap((data.drop('ocean_proximity', axis=1)).corr(), annot=True, cmap='Greens')", i am new to this don't judge me
:2: FutureWarning: The default value of numeric_only in DataFrame.corr is deprecated. In a future version, it will default to False. Select only valid columns or specify the value of numeric_only to silence this warning.
sns.heatmap(data.corr(), annot=True, cmap='Greens')
Yes i m ready ❤
We need full statistics for data science course
Wonderful!
I think this video having a very good clear explanation by mam thank you for That give other algorithms also in ml
See how things are. I watched 4:19 hours of video on a subject that has nothing to do with me. This woman is beautiful...
Now I'm in love and learned machine learning, a real data scientist
Thank you so much
Leaving this comment here:
If anyone completes this course please please please tell me how was it and does it provides good value or not?
I completed it and yes, it provides good value.
Are there any pre requisites before starting this course? And also how much maths do I need to know before starting this course or the tutor has taught the maths in this course??@@uniquexcelfashion2509
me too, didn't waste my time at all.
@@randomperson-gp2wd did you know maths before coming to this course? Or do they teach maths in this course ? I suck at maths that's why I am asking
This is what I was looking for.
Nice one! Thanks!
We need a course regarding mathematics for ml with proper examples so that we can understand it better and the application of mathematics in ml
3:14:00
maybe you face this proplem when u creat a heat map "ValueError: could not convert string to float: 'NEAR BAY'"
it's logically because the last column is strings not numbers so we need to exclude it from this heat map so try this code instead
plt.figure(figsize=(12, 8))
sns.heatmap(data.iloc[:,:-1].corr(), annot=True, cmap='Greens')
plt.title('Correlation Heatmap of Housing Data')
plt.show()
i feel like this intro is not very encouraging for a beginner course.
xD
Very insightful course...... can you please bring out a course for generative ai in computer vision as well
Oh it's really to help me ❤
Thank you very much 🙏🙏
Thnx for all folks!!!
LOVE YOU CONTENT ❤
where is the ocean proximity in the csv file theres no such column
Great lecture.👍🏻
Thank you very much, it is very useful video.
Well structured course
brilliant 🙏
I want to do the course but the biggest problem is i haven't studied the high level maths used in ml. Any solution
No need for that everything is simple and easy for beginners just code while running the video pausing it and resuming it
Sorry but... I cannot find the housing.csv file in the sample_data folder. Can you pu it there again to do these practices?
Thank you in advance. This course looks nice !!!
We need basic math, fundamental math course to advanced math apply in machine learning.
yes me too
Thank you, I wanted something more modern
No body tells you exact math topics required, blindly starting with this
Sir do you don't think the way ai is developing is unmatchable and it could replace the humans . Aur jobs will be less inthe future ?
there are so many mistakes in the given code but the major one was at 3:23:53 I am unable to contact the dummies with the existing data frame and I am unable to find a solution if run the existing code in colab also we get so many errors
I want less theory and more hands on coding much like Beau Carnes's course on Full Stack Web Development.
where is the explanation of underfitting
Excessive use of the words "machine learning" or am I wrong?
50:18 , in the classification table the predicted is discret variable right, but here in the classification table continuous variable was written.
Please someone tell
2 hours in and this makes no sense. A bunch of formulas and definitions that just fly over my head. How is this for beginners? This is trash
thank you
how many times did she say machine learning, someone count that
Mentioning all things u have to learn first sounds almost like a deterrence. Wouldn't it be better for u to just go ahead and teach and pauch when these topics become relevant?
Is there a pdf for the content provided
How can I download these handbooks 23:56?
I learned Haitian. Do I also need to learn Jamaican?
from min 10:00 to min 38:00 she's killing me hahaha do i need to KNOW all that before sending the first CV?
wow thanks
🎉🎉🎉🎉🎉❤❤❤❤❤ i love mor machine learning
do you do private tutoring
i just know python in the field of ML . can i take it ?
U can take her.
Any course related to block chain developers
Was on wax off!
should post a music-less version for sure
Good to learn while laid off
does it give certification
2:05:41 At log odds, log instead of natural log is sure?
She definitely got a thousands of costumes with this first minutes in the video lol
is there any prerequisite knowledge for this video? if yes I would appreciate if some one mention them.
you should have some knowledge of python to understand the code.
Nice 👍 sir
Tatev you are so gorgeous!
bruuhhh, skip to 45:00 to skip this loooooong damn intro
😂😂😂
45:52
Anyone watched it and can tell if it is good?
depends on your interest, contains a lot of theory and some coding, could try in free time.
24:00
do you think what jensen Huang said is true,will artificial intelligence finish the software?Should I learn software?All my motivation is over🤔🤔
💯💯💯
I like dinosaurs :)
me too buddy 😂👍
Does anyone knows which website or programming language is she using at 2:29:00 .Thanks
Google collab, it's an online notebook instead of having to do everything locally on your machine
Can we get the machine learning course in java please 😊
+1
No. Machine learning is popular in python or R
@@coderprakash but we like java:)
W
❤❤❤❤❤
I wish she was my personal teacher
less talk, more code
goods
getting u from africa .remote part
YEET