simple and clear teaching, friendly tone. This is a very hard receipr to master and only possible when a guy has done real hard work and does not take himself/herself seriously. You have our respect.
The patience and calmness while teaching can be delivered by a true teacher only..have got deep understanding of all the videos till now..thankyou for the hardwork sir ..! We all really appreciate it..!
Only after watching this channel , univariate analysis is clear. Thanku so much sir. Ur channel is really very unique , informative , very good explaination. One of the quality channel for data science n machine learning in India on youtube.
The lecture sets are truly beneficial. Great work. Just a little thing I wanted to point out at 20:33. The y-axis of pdf plots represents the 'density of probability' rather than the density. Integral of the pdf over a range gives the actual probability.
🥰🙏🙏🙏🙏🙏👏👏👍.....I've no words again. Thanku so much sir. So much Quality content in free on this channel. Wonderful detailed in depth basic explaination.
Had a doubt in EDA, after analyzing each step should we correct mistakes in data, for example, one dataset I am working on has duplicate values, should I remove those duplicates before continuing EDA? Please Answer. Thank you for such nice videos, Even though I purchased a course online, I am referring to your videos for some in-depth explanation!
they look like numerical columns but they are not because in pclass,we have the numerical values 1,2 and 3 and each passenger is aligned with these values and what if i change the 1 to Pclass1,2 to pclass 2 and 3 to pclass 3.Now,I categorized them with their names and same goes with survived column Survived-1 and Not Survived-0.But when it comes to age (Numerical Column),you can't categorize it. I hope you got the point
no, Five number summary says that for a box plot there are five terms involved which are : (1) minimum (2) Q1(25 percentile ) (3) Median (4) Q3 (75 percentile) (5) maximum. Now for a given dataset u can find min, max, median by using syntax directly. And for Q1 , Q3 u have to use mathematical formula - First quartile (Q1): Q1 = (n + 1) x 1/4 , Third quartile (Q3): Q3 = (n + 1) x 3/4. Hope this is clear
no one on the internet is proving such good and clear content like you
@11:06 , looks like there is a change in the API, we need to do
sns.countplot(df, x="Survived")
Thank bro😌😌
thanks brother..
Bhai thanks a lot
Thank you, brother.
Thanks buddy
simple and clear teaching, friendly tone. This is a very hard receipr to master and only possible when a guy has done real hard work and does not take himself/herself seriously. You have our respect.
The patience and calmness while teaching can be delivered by a true teacher only..have got deep understanding of all the videos till now..thankyou for the hardwork sir ..! We all really appreciate it..!
Sir, absolutely your teaching is GREAT. I don't have words to express the knowledge level through your videos. Keep going.🎉
Only after watching this channel , univariate analysis is clear. Thanku so much sir. Ur channel is really very unique , informative , very good explaination. One of the quality channel for data science n machine learning in India on youtube.
The lecture sets are truly beneficial. Great work. Just a little thing I wanted to point out at 20:33. The y-axis of pdf plots represents the 'density of probability' rather than the density. Integral of the pdf over a range gives the actual probability.
Hi
All your ML tutorials are very good with excellent technical depth. I have subscribed. Keep giving us more of your phenomenal content.
Krish
Thanks a lot sir
Appreciate your work
Great content and mind-blowing explanation
You clear my all doubt
Thank you 😊
I hope you get a great success 🙌
Love you sir.... Jb se ap ko follow kia he mere tu ankhy khul gye sir seriously.... Love From Pakistan
It's great to learn from you a great content 🙏🙏🙏
🥰🙏🙏🙏🙏🙏👏👏👍.....I've no words again. Thanku so much sir. So much Quality content in free on this channel. Wonderful detailed in depth basic explaination.
Thank you so much sir
No one explains this concepts better than you 😊
your teaching style is too good
Awsome explanation Nishant sir..Thanks
Very simple explanation
Thanks😀
Wat a way to explain such complex things in such a simple way
At 20:33 y-axix values are not probability, its probability density
Thank you so much
top-notch content
College me bhukamp aaega to aap roll no. se nhi maroge🤣🤣
Best channel !!!!!
Awesome teaching ❤
Things explained in easiest way. Wish your channel to grow big.
Thanks sir
Thankyou so much Sir
Congratulations for 25k 🥳🙌
😂😂😂 bhai I literally paused video at 8:28 to just laugh. College me bhukamp aya to roll number se nahi marokge. 😂😂😂
Ya !
Thank you
Amazing, I enjoyed a lot. You are 2x times better than @krish Naik
Nice explanation sir.
Thank you Sir
awesome video. I get what exactly I want.
Thanks for not putting advertisement in b/w the video
Had a doubt in EDA, after analyzing each step should we correct mistakes in data, for example, one dataset I am working on has duplicate values, should I remove those duplicates before continuing EDA? Please Answer.
Thank you for such nice videos, Even though I purchased a course online, I am referring to your videos for some in-depth explanation!
Yes
finished watching
very very nice tutorial
Thanxxxx awesome
भाई आप गजब हो अद्भुत अफलातून
You got a sub bro...you are awesome
aapke clg me bhukanp ayega is the best example 😂😅
Course Started : ML
Lecture-01: 14/08/2024
Lecture-02: 14/08/2024
Lecture-03: 14/08/2024
Lecture-04: 14/08/2024
Lecture-05: 14/08/2024
Lecture-06: 15/08/2024
Lecture-07: 15/08/2024
Lecture-08: 15/08/2024
Lecture-09: 15/08/2024
Lecture-10: 15/08/2024
Lecture-11: 16/08/2024
Lecture-12: 16/08/2024
Lecture-13: 17/08/2024
Lecture-14: 17/08/2024
Lecture-15: 18/08/2024
Lecture-16: 19/08/2024
Lecture-17: 20/08/2024
Lecture-18: 20/08/2024
Lecture-19: 21/08/2024
Lecture-20: 21/08/2024
nice
That example of
Ki agr school mae bhukamp ayega toh bacha roll number wise nhi marenga
Is too lit 😂😂😂🤪
exactly yaar , i was looking for this comment that if someone noticed 😂😂😂😂
I was laughing like mad 😂
😂
Sir explain about continuous and discontinous data
'Apake Clg me bhukamp ayega to ap role number ke hisab se nahi maroge' was a best like 🤣🤣🤣
"Agar aapke school mein bhoookamp aayega tho aap roll number se nhi maroge ! " was so blunt🤣
Ky pta sb Mr gye to tb kh skte hi ki roll no. Se mre the 🤣🤣
What does the age outliers in box plot in real life reflects????
Sir,
When to use Seaborn and when Matplotlib.??? Please tell
the plot is right shifted right sir?
It gives error in case of Sex and Embarked columns as it is string what to do??
done
❤🔥🔥
Hello sir please make English vedios too
Hello Sir, XGBoost is not included in playlist, could you please make a video on XGBoost ?
Its in the channel
Done
link of the dataset?
i knew it is silly question but survived and pclass looks numerical columns but why you were said categorical columns?
they look like numerical columns but they are not because in pclass,we have the numerical values 1,2 and 3 and each passenger is aligned with these values and what if i change the 1 to Pclass1,2 to pclass 2 and 3 to pclass 3.Now,I categorized them with their names and same goes with survived column Survived-1 and Not Survived-0.But when it comes to age (Numerical Column),you can't categorize it.
I hope you got the point
sir distplot is not working
bhukam ayega to enrollment number ke hisab se nahi maroge was insane🤣
Statistics vdo list?
pdf is not same as probability
but using the curve based on function gives probability
⁉⁉ Difference between (Q1 and Minimmun) and (Q3 and maximum) should be same by the formula,but in boxpot plotted,it is not same. Can anyone explain.
no, Five number summary says that for a box plot there are five terms involved which are : (1) minimum (2) Q1(25 percentile ) (3) Median (4) Q3 (75 percentile) (5) maximum. Now for a given dataset u can find min, max, median by using syntax directly. And for Q1 , Q3 u have to use mathematical formula - First quartile (Q1): Q1 = (n + 1) x 1/4 , Third quartile (Q3): Q3 = (n + 1) x 3/4. Hope this is clear
Meri to sari bars aik jaisi arhi hain .. seaborn ka y-axis 0.0 se 1.0 tak ja raha hai...seaborn ka tutorial KAHAN HAI????
sns.countplot(x='Pclass', data=df) use this
Is there anyone who got benefitted by this program? Any practically or got job by it
Day 20-12/09/2024
Sir mere sns.countplot(df["Pclass"])
karne se 3 diagram nhi ban Raha ek hi ban Raha hai
sns.countplot(x=df['Survived'])
8:25 😀 i stopped video & laughing
16:30
sir i admire you but interepretation of pdf is wrong
How?
aap ka college main bhukaamp ayega, tow aap roll no se nehi maroge 🤣🤣🤣
bhukamp ayega to aap roll no se nahi maronge 😂
Its Better if you teach in english.
done