EDA: The Key to Unlocking Insights in Your Data - Part 1 | Data science in Tamil

EDA stands for exploratory data analysis. It is an approach to analyzing and understanding data that involves visually exploring and summarizing the main characteristics of a dataset. The goal of EDA is to gain insights and identify patterns, relationships, and anomalies in the data that may be useful for further analysis. EDA typically involves a combination of graphical and statistical techniques, including scatter plots, histograms, box plots, and summary statistics, among others. The insights gained from EDA can inform the selection of appropriate modeling techniques and the design of subsequent data analysis procedures. EDA is a critical step in any data analysis project and can help ensure that the data is properly understood and prepared for further analysis.

[@maniramraj4324]

Thanks

[@jayavaradhanjayavaradhan8445]

can you please provide the dataset?

[@Harshinisounder]

HI Sir , Pls give the link of the dataset you are using in this video will be very useful

[@happystudents]

Sorry bro.. will try to get it for you.

[@mohanprasanthmanickam8292]

Bro, Pandas,Numpy ,Matplotlib and seaborn ithoda tutorial videos ellam irukutha/

[@happystudents]

We have all these videos. Please search them using the keywords in the channel

[@madnforextamil4533]

Soooooo good

[@happystudents]

Thank you

[@vaishu6479]

Lot frontage ku mean kandu pudikura po
Outliers irundha mattipom nu soli irukenga
Adha konjam theliva sollurengala
Enna problem varum onnume purila adhu mattum konjam theliva sollunga bro pls

[@happystudents]

Hi Vaishu.. When you are finding mean, you should make sure to remove outliers.. For example, if the data set contains [1,2,3,4,5,4,3,2,1,5] the mean will be 3. If the same dataset has one more value .. let us say [1,2,3,4,5,4,3,2,1,5, 100], the mean changes to 11.82. Here 100 is outlier.. This should be removed before you find mean. If you have outliers, better use median than mean.
Hope this answers your question.

[@vaishu6479]

@@happystudents thank you so much for your reply bro
Really really thank you

[@vaishu6479]

@@happystudents if u don't mind
Ennaku idhu Mari doubts lam vanga unga kitta kekalama
Neega ennaku clear pannuvenga
And unga vera social media accounts edhavadhu irundha ennnaku share pannurengala
Like instagram
Zoc ennaku unga kitta interact panna konjam comfortable a irukum so

[@anandkandhasamy7533]

Bro please put the this EDA feature engineer part bro

[@happystudents]

Hi Anand, We have a seperate playlist for feature engineering here.
ruclips.net/p/PLmVT7Ax5cbJP2GPmwwJ5-vpDg8TUAUKaS

[@sbsurendar271]

Bro inthaa therory aaa solungaa bro

[@happystudents]

This is an explanation of packages. Will do a different video if possible.

[@vaishu6479]

Thank you bro

[@happystudents]

Anytime vaishu

[@Antony-sc2mj]

are you learning ML?

[@vaishu6479]

@@Antony-sc2mj I am learning Data analyst in great learning academy Chennai

[@Antony-sc2mj]

@@vaishu6479 how can I contact you can you give me your email ID?