Live Day 3- Intermediate Statistics With Python In Data Science

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  • Опубликовано: 27 окт 2024

Комментарии • 131

  • @walidhossain3655
    @walidhossain3655 2 года назад +121

    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

  • @rajapratappedapudi
    @rajapratappedapudi Год назад +14

    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. 🙏🙏🙏🙏🙏🙏🙏🙏🙏🙏🙏🙏🙏🙏🙏🙏🙏🙏🙏

  • @shravankota6240
    @shravankota6240 2 года назад +3

    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

  • @HuntWithShivani
    @HuntWithShivani 6 месяцев назад +1

    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.

  • @anuradhamishra4746
    @anuradhamishra4746 2 года назад +13

    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.

  • @shrikrushnabhagwat5076
    @shrikrushnabhagwat5076 2 года назад +12

    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.

  • @nivirajput6816
    @nivirajput6816 2 года назад +17

    Dev Manush hain apne Krish sir😇✌️💯🙏 sir maza agya, I would rate it as one of the best lecture on RUclips, next I am planning to go through your SQL playlist

  • @vikascbr
    @vikascbr 2 года назад +3

    You are so good and amazing, I do not have words to describe that.Thanks very much...👍👍👌👌💕💕

  • @meetbutani2526
    @meetbutani2526 2 года назад +6

    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%.

    • @zaafirc369
      @zaafirc369 2 года назад +1

      I was looking for that comment!

    • @meetbutani2526
      @meetbutani2526 2 года назад

      @@zaafirc369 thank you 👍😊

    • @rafibasha4145
      @rafibasha4145 2 года назад +1

      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

    • @petersharma8920
      @petersharma8920 Месяц назад

      in this video why he is looking for 0.25 on left table but the value is on right table?

  • @VikasSingh-nq5yx
    @VikasSingh-nq5yx 2 года назад +8

    This class 1:40 hour approximately nice 😍👍

  • @virajjain5133
    @virajjain5133 2 года назад +7

    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

  • @SahilChauhan-vz8ny
    @SahilChauhan-vz8ny 7 месяцев назад

    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.

  • @Mohammad_Kaiser_Azad95
    @Mohammad_Kaiser_Azad95 Год назад +3

    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.

  • @gayanthadilshan6884
    @gayanthadilshan6884 Год назад +1

    Simply say Thank you ❤...otherwise i cannot covert my feelings to words.

  • @rahuldas6777
    @rahuldas6777 2 года назад +3

    absolutely incredible.

  • @kashishgautam7040
    @kashishgautam7040 Год назад

    dhanyawad sir i hope i'll rock in ml after completing whole playlist

  • @techandtalks6224
    @techandtalks6224 2 года назад +6

    bro, u are just amzing. u are best at teaching ....
    never stop teaching

  • @deepanjanaroy7115
    @deepanjanaroy7115 5 месяцев назад

    Thankyou so much sir clear my all doubts regarding ztable

  • @goramnikitha5491
    @goramnikitha5491 9 месяцев назад

    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

  • @anagham9197
    @anagham9197 2 года назад +5

    This is an amazing playlist!

  • @talkwithjyoti1883
    @talkwithjyoti1883 2 года назад

    awesome videos learning from your video is like data science is game

  • @aabha7064
    @aabha7064 9 месяцев назад

    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

  • @gokulnath4297
    @gokulnath4297 2 года назад

    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%

  • @harshsinha9709
    @harshsinha9709 2 года назад +1

    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%

  • @shelby1999
    @shelby1999 2 года назад +1

    The Iris Dataset contains four features i.e length and width of sepals and petals

  • @ganaeshbondre3410
    @ganaeshbondre3410 2 года назад +2

    Thank you so much for this much of effort and for teaching us

  • @vasanthalakshmi7824
    @vasanthalakshmi7824 Год назад

    This is a wonderful playlist i have ever seen..

  • @mridang2064
    @mridang2064 2 года назад

    Jai Shree Ram Sir, you're simply the best . May Maa bhavaani bless you and your family

  • @deeprajvadhwane9208
    @deeprajvadhwane9208 2 года назад +1

    Thanks for this video, You are best teacher

  • @anutyagi1002
    @anutyagi1002 2 года назад +1

    Thanks for the efforts sir 🙏🙏

  • @hammadalamsiddique3730
    @hammadalamsiddique3730 2 года назад

    You deserve millions of subscribers..

  • @osamakhan2552
    @osamakhan2552 2 года назад

    amizing section thanks karish bhai

  • @joseph2073
    @joseph2073 3 месяца назад

    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.

  • @pythonthepythonist6439
    @pythonthepythonist6439 2 года назад +3

    You guys are doing super service to the world

  • @vkhemant
    @vkhemant 11 месяцев назад

    You are a champion boss 💪

  • @tapabratacse
    @tapabratacse 2 года назад

    thanks for this video

  • @manojkumarparuchuri5920
    @manojkumarparuchuri5920 2 года назад

    thanku for these tutorials sir

  • @evelyncusilopez6776
    @evelyncusilopez6776 Год назад

    Thank you Sir 😄

  • @raghavsharma6430
    @raghavsharma6430 2 года назад

    amazing tutorial krish !!

  • @agirmaus-lh9zi
    @agirmaus-lh9zi 2 года назад

    very good explanation

  • @hammadalamsiddique3730
    @hammadalamsiddique3730 2 года назад

    This playlist is like gulab jamun for all of us.

  • @enareshy
    @enareshy 2 года назад

    Thank you Krish..

  • @laythherzallah3493
    @laythherzallah3493 2 года назад

    You are the best

  • @beingrishi6450
    @beingrishi6450 2 года назад +2

    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

    • @akashravindra..
      @akashravindra.. 2 года назад +3

      Sigma value is already given as difference between 4 and 5 is 1 that is the sigma

  • @MrAk5015
    @MrAk5015 2 года назад

    Awesome videos

  • @AKSHAY99552
    @AKSHAY99552 2 года назад +2

    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 ??

  • @kuldeeplodhi7
    @kuldeeplodhi7 Год назад

    thank you sir😁

  • @pankajkumarbarman765
    @pankajkumarbarman765 2 года назад +1

    Awesome lecture sir op🔥❤️

  • @exploreandlearn828
    @exploreandlearn828 2 года назад +1

    Yes

  • @honey-tg3ui
    @honey-tg3ui 2 года назад

    😀thanku

  • @akarkabkarim
    @akarkabkarim 2 года назад

    thank you sir krish

  • @krishajain7363
    @krishajain7363 Год назад

    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)

  • @shehryargondal8922
    @shehryargondal8922 2 года назад +2

    Unable to find the uploaded material in Community course.

  • @sandipansarkar9211
    @sandipansarkar9211 2 года назад

    finished watching

  • @faizmaverick7114
    @faizmaverick7114 Год назад +1

    Krish, can u share the link for data set u r using with Google colab

  • @govindraju9586
    @govindraju9586 2 года назад +3

    Great session.
    When are we doing next session 4?

  • @mistkoli9598
    @mistkoli9598 2 года назад +1

    Krish Sir OP

  • @rajat_sharma_63
    @rajat_sharma_63 2 месяца назад

    so, for last part do we have to know the python libraries first?

  • @SBhupendraAdhikari
    @SBhupendraAdhikari 2 года назад +1

    Thanks one more time

    • @SBhupendraAdhikari
      @SBhupendraAdhikari 2 года назад

      Aaj no session kya...I attend these after my ofc hours...but koi video nahi bhai aaj

  • @parulkalamkar3495
    @parulkalamkar3495 Год назад

    What is the answer for Rishab pant question? He did better in 2020 or 2021?

  • @mohammednadhim1918
    @mohammednadhim1918 9 месяцев назад

    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

  • @abhishekchack8065
    @abhishekchack8065 2 года назад

    maza aa gya !

  • @bp2807
    @bp2807 2 года назад +6

    Hi krish. Thanks for these sessions. When will we get the tutorials on sql sessions.

  • @satyamgawade4244
    @satyamgawade4244 Год назад

    Closer to the average value will be better right ?

  • @uditkumar370
    @uditkumar370 Месяц назад +1

    1:18:27 IQ 90 TO 120. --- 58.68%. RYT?

  • @shrikantgautam9189
    @shrikantgautam9189 7 месяцев назад

    Then what will be question for z score , where is rishbh pant in whole question summary

  • @spsf9415
    @spsf9415 Год назад

    Love you sirji😅

  • @mainakseal5027
    @mainakseal5027 9 месяцев назад

    lets go!!

  • @jinugeorge4913
    @jinugeorge4913 3 месяца назад

    is it same for data analytics lab?

  • @harikrishnanani3949
    @harikrishnanani3949 2 года назад

    please explain about minmax scalar..

  • @taiyebradiowala6151
    @taiyebradiowala6151 2 года назад +1

    The answer to the question between 90 and 120 is 65.36% right??

  • @bhavanapatil1565
    @bhavanapatil1565 Год назад

    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

  • @muzammilkhan02
    @muzammilkhan02 2 года назад +1

    White Background is Better

  • @manavkaushal2016
    @manavkaushal2016 2 года назад +1

    can anyone please give me a direct link for his stats note i am unable to find

  • @petersharma8920
    @petersharma8920 Месяц назад

    in this video why he is looking for 0.25 on left table but the value is on right table can anyone tell me ?

  • @saharamanson1970
    @saharamanson1970 2 года назад

    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.

  • @krishnavats5018
    @krishnavats5018 2 года назад

    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?

  • @exploreandlearn828
    @exploreandlearn828 2 года назад +1

    It's my first day

  • @amanrajdas4540
    @amanrajdas4540 Год назад

    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!

  • @pawanthakur-df2yk
    @pawanthakur-df2yk Год назад

    31:00

  • @shrinjaykaushik1048
    @shrinjaykaushik1048 2 года назад

    @Krish Naik can we normalize non normal dataset as well?

  • @narayanbabubharali9846
    @narayanbabubharali9846 2 года назад +1

    नमस्कार भाईचा

  • @harshthakkar735
    @harshthakkar735 2 года назад +1

    sir What is Ans of IQ Between 90 to 120 ?

  • @mayowaadewumi9395
    @mayowaadewumi9395 2 года назад

    Ineuron isn't accepting my Ukraine phone number. Unable to proceed with the registration

  • @biswajitsarker_Multi_21
    @biswajitsarker_Multi_21 2 года назад

    cant find resources on platform... it showing page not exist. can anyone plz help me out with this??

  • @rakeshkuratti6595
    @rakeshkuratti6595 2 года назад

    Not able to access day 3 materials in Mega community.

  • @chaitanyavutukuri2409
    @chaitanyavutukuri2409 2 года назад

    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

  • @beingfijian1855
    @beingfijian1855 2 года назад

    what app is the blackboard. i like it and would like to use it. Thank you.

    • @dude5697
      @dude5697 2 года назад

      scible ink, i think

  • @anishabanerjee379
    @anishabanerjee379 2 года назад

    Which z score is better?

  • @aninda1988
    @aninda1988 2 года назад +1

    when would day 4 session start?

  • @user-hm7cf3ns2u
    @user-hm7cf3ns2u Год назад

    wow

  • @MDALAM-ov8if
    @MDALAM-ov8if 2 года назад

    👍

  • @chitramethwani4758
    @chitramethwani4758 2 года назад +1

    do we have day 4 session? i cannot find it.

    • @krishnaik06
      @krishnaik06  2 года назад +3

      Day 4 will happen tomorrow

    • @theeurekachannel9409
      @theeurekachannel9409 2 года назад

      @@krishnaik06 ohhk sir , i was waiting for session to start,,,........ and thank you for this series ,sir

    • @chitramethwani4758
      @chitramethwani4758 2 года назад

      @@krishnaik06 thank you for the update!

  • @Ranganadhamkrishnachaitanya27
    @Ranganadhamkrishnachaitanya27 Год назад

    Could you please tell me why these sigma=1 after seeing my comment

  • @shailendrasen602
    @shailendrasen602 2 года назад

    Sir , what About today's (25 Jan) Session ??

    • @krishnaik06
      @krishnaik06  2 года назад +2

      Tomorrow we will have the session... No energy

    • @shailendrasen602
      @shailendrasen602 2 года назад +1

      @@krishnaik06 okay Sir 😊, Take Care... Last three sessions were amazing...You Are the best...Thankyou So Muuchh ❤️

  • @pratikjanani743
    @pratikjanani743 2 года назад

    Hi, where can I find the 'Tips' dataset file ?

    • @upparajanardhan143
      @upparajanardhan143 11 месяцев назад

      In seaborn , it is inbuilt dataset available to use.

  • @shaileshsharma6966
    @shaileshsharma6966 Год назад

    Krish OP

  • @sanjeevgupta4577
    @sanjeevgupta4577 Год назад

    250 avg. score for rishabpant ? Ohh its a Outliar.

  • @AnsumanPal
    @AnsumanPal 2 года назад

    Krish naik OP

  • @riyazshaikh4051
    @riyazshaikh4051 11 месяцев назад

    krish op