Live Day 3- Intermediate Statistics With Python In Data Science
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- Опубліковано 15 лип 2024
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After watching all statistics 7-day live sessions and now I have got so much confidence in stats, and I am very sure that I could learn data science subject. The way you teach is very clear and absolutely very easy to understand which I didn't find in my university. A Big Thanks to you Krish Naik ji for your great effort to help me and many students with your knowledge to shine their future and it is much appreciated. 🙏🙏🙏🙏🙏🙏🙏🙏🙏🙏🙏🙏🙏🙏🙏🙏🙏🙏🙏
8:45 Distributions
11:00 Gaussian/ Normal Distribution
16:00 Emperical formula
23:40 Z score
31:40 Standard Normal Distribution
33:38 application of SND
37:36 Normalization
40:50 Application of Z score
1:20:16 Stats with python
This is an amazing playlist!
You are so good and amazing, I do not have words to describe that.Thanks very much...👍👍👌👌💕💕
1:10:20
we dont have the right table but we can use that table which is above left table as
0.5 - that table value
but by using the left table we can find every region we want
Thank you so much for this much of effort and for teaching us
absolutely incredible.
Thanks for this video, You are best teacher
Hi Krish, If you can make a detailed practical session on PCA taking an example. It will really be helpful for all, as everywhere just theory and basic codes are present but no detailed & clear explanation is thr. Please try making it.
This is a wonderful playlist i have ever seen..
I understood all in 3 days what teachers used to study me in Bsc statistics😂. I am thankful that I didn't attend much lectures
krish, This is my day 3 with your Statstics class though i was aware of the basics but the way you explained from Day 1 Of Stats. I wish i could find this some months ago well nevertheless excited in journey to start next with your SQL Lessons. Thank you Krish ! :) You are the best teacher.
Thanks for the efforts sir 🙏🙏
Thank you Krish..
amazing tutorial krish !!
amizing section thanks karish bhai
if possible sir please attach code files or collab file links too in the upcoming video where the coding part will be more,
Thank you very much for such a series, it's helpful for us a lot.
dhanyawad sir i hope i'll rock in ml after completing whole playlist
awesome videos learning from your video is like data science is game
Jai Shree Ram Sir, you're simply the best . May Maa bhavaani bless you and your family
Awesome lecture sir op🔥❤️
The Iris Dataset contains four features i.e length and width of sepals and petals
Thankyou so much sir clear my all doubts regarding ztable
This class 1:40 hour approximately nice 😍👍
Simply say Thank you ❤...otherwise i cannot covert my feelings to words.
thanks for this video
thank you sir krish
bro, u are just amzing. u are best at teaching ....
never stop teaching
thanku for these tutorials sir
From right table also we can calculate as both are symmetrical we can do 0.5-(Z-score value at 0.25 from right table) which will be same...40.13%
You deserve millions of subscribers..
😀thanku
Hi Krish!
Thank you deep from my heart for such nice free sessions. I wish I knew this platform was going on during the time it was happening. I just came to know know and following your free sessions and learning continuously. I was wondering if the one neuron life time access is still going on or not.
You guys are doing super service to the world
very good explanation
Awesome videos
Thank you Sir 😄
Yes
You are a champion boss 💪
Dev Manush hain apne Krish sir😇✌️💯🙏 sir maza agya, I would rate it as one of the best lecture on UA-cam, next I am planning to go through your SQL playlist
You are the best
we can use Right Z table as well. as the bell curves are symmetrical, just subtract the value of right z table which is 0.0987 from 0.50.
maza aa gya !
finished watching
This playlist is like gulab jamun for all of us.
thank you sir😁
In Z score example explanation, right part from mean is about 50%. and we check the value of 0.25 in right side table . and substract the value 0.0987(z table value of 0.25) from 50%. our final is also same 40.13%.
I was looking for that comment!
@@zaafirc369 thank you 👍😊
Why we are substracting from 50%,mean is 4 and we caluclated zscore for 4.25 so it should be greater than 50% at lesft side right
for scores question
middle line = 50% so 0.5
after the middle line z-score is 0.25, for 0.25 the value in ztable is 0.9
so above 4.25 is 1-(0.5+0.9)=0.4
ie) 40%
for z score area if u want to use right table u just simply add 0.5 to the area what u got at the right table that will give u the whole left tail then just subract 1-left tail this works because the distrubution is symectric thruogh the mean mean
lets go!!
Thanks one more time
Aaj no session kya...I attend these after my ofc hours...but koi video nahi bhai aaj
when we perform standardisation for any given data set, so basically we are replacing the existing data set values with new z score (mean=0,s.d.=1) and provide as new value for applying any ml algo ??
for the right side part we could subtract the area of 4 to 4.25 from 0.5 as 4 is in the middle and right side is 50% or 0.5 and subtracting the area of 4 to 4.25 that is 0.0987. Then the ans is 0.5-0.0987=0.4013 the exact same
👍
Krish Sir OP
Love you sirji😅
It's my first day
wow
please explain about minmax scalar..
for "what percentage of values lie above 4.25?" question while calculating the z-score using the table, why didn't we take the 2.5 value from the right table and subtracted that value from 50? as we know its a bell curve( use its symmetry)
नमस्कार भाईचा
can we not take values from the right z table for points 4 and 4.25 then subtract from 0.5. because for normal distribution it should have 50% data on each side of the mean?
@Krish Naik can we normalize non normal dataset as well?
Great session.
When are we doing next session 4?
Today
Krish, can u share the link for data set u r using with Google colab
White Background is Better
Closer to the average value will be better right ?
40:20 u have mentioned they are another type of normalization but i think they are using minmaxscaler only
prove me wrong
if my conclusions are incorrect
Unable to find the uploaded material in Community course.
Lovely Video I do not know why shitty people trying to disturb the class. By the way lovely video.I have buyed the TechNeuron but do not know what is the difference between the stats video over here and the stats course in the techneuron product of ineauron.
26:40 and 27:00 Got the Z Score by doing the formula Xi - Mu... But Sigma Formula not being defined which is 1 as formula is Xi - Mu/Sigma... Please tell this
one is 4.75 -4.00 = 0.75 another is 3.75-4.00 = -0.25 Got it regarding Xi and Mu but what about Sigma Which is denoted as 1
Sigma value is already given as difference between 4 and 5 is 1 that is the sigma
31:00
Krish OP
26:28
Hi krish. Thanks for these sessions. When will we get the tutorials on sql sessions.
Bhai 350 rs and go to udemy. No need to wait for the free sessions.
Hi , i need the python code for pulling the stocks below 10 /- from bse, nse on specified date. Please help me if you have any
Krish naik OP
can anyone please give me a direct link for his stats note i am unable to find
krish op
What is the answer for Rishab pant question? He did better in 2020 or 2021?
Not able to access day 3 materials in Mega community.
cant find resources on platform... it showing page not exist. can anyone plz help me out with this??
Sir I m completed my mca in 2009 after that I m not work any where now I am completed my Data analysis now a days can it possible to get a job in market
what app is the blackboard. i like it and would like to use it. Thank you.
scible ink, i think
Then what will be question for z score , where is rishbh pant in whole question summary
Ineuron isn't accepting my Ukraine phone number. Unable to proceed with the registration
when would day 4 session start?
tomorrow
Which z score is better?
You are making the things complex ,try to teach us in a easy way,and please don't get offend if someone is asking questions!
is it same for data analytics lab?
Answer for question at 1:18:20
To find the percentage of the population with an IQ between 90 and 120, given a mean IQ of 100 and a standard deviation of 15,
1. *Calculate the Z-scores:*
Z(90) = -0.67
Z(120) = 1.33
2. *Find the cumulative probabilities for the Z-scores:*
Using a Z-table, we find the cumulative probabilities.
P(Z (120)) = 0.9082
P(Z (90)) = 0.2514
3. *Calculate the percentage of the population within this range:*
{P(Z (120)) - P(Z (90)) } *100%
= 0.6568 *100%
= 65.68% (Answer)
Therefore, approximately 65.68% of the population have an IQ between 90 and 120.
The answer to the question between 90 and 120 is 65.36% right??
right, let me know your progress brother, did you land a job or something
sir What is Ans of IQ Between 90 to 120 ?
65.36%
Hi, where can I find the 'Tips' dataset file ?
In seaborn , it is inbuilt dataset available to use.
sir help me !
do we have day 4 session? i cannot find it.
Day 4 will happen tomorrow
@@krishnaik06 ohhk sir , i was waiting for session to start,,,........ and thank you for this series ,sir
@@krishnaik06 thank you for the update!
Sir , what About today's (25 Jan) Session ??
Tomorrow we will have the session... No energy
@@krishnaik06 okay Sir 😊, Take Care... Last three sessions were amazing...You Are the best...Thankyou So Muuchh ❤️
250 avg. score for rishabpant ? Ohh its a Outliar.
Could you please tell me why these sigma=1 after seeing my comment
It's so disrespectful to see that after putting so much efforts this man is getting criticized for no reason.