Session 18 - Important DataFrame Methods | Data Science Mentorship Program (DSMP) 2022-23

Data Science Mentorship Program (DSMP) 2022-23

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| Time stamp |
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0:00 Start
3:45 Plan of session
5:40 Data Frame Functions
7:40 # value_counts
15:46 Toss decision plot
17:29 No of matches each team has played
22:39 # sort_values
27:32 Sort values on nan values
31:18 Sorting on multiple columns
36:28 # rank
44:16 # sort index
48:46 # set index
51:24 # reset index
53:05 How to replace existing index without loosing
54:56 Series to dataframe using reset_index
58:00 # rename index & rename
1:01:55 # unique & nunique
1:08:40 # isnull/notnull
1:14:54 # dropna
1:24:04 # fillna
1:29:01 # drop_duplicates
1:33:17 find the last match played by virat kohli in Delhi
1:44:48 # drop
1:50:53 # apply
2:00:10 Doubts

[rushikesh]

Wow sir ! You are incredible ! NO one has taught the way you teach ! Just a real goldmine this channel

[dreams-believe-achieve]

Dekhne walon ko request hai like bhi Kiya Karo yaar sir itne efforts lete hai like bhi Karo frds I am also student and no buddy puts such a efforts

[rohitkumarraghav]

sir thanx for providing such a detailed, well organized and fabulous course on data science.

[TheKumarAshwin]

.apply() takes the current element and passes it as an argument to your function. Even though you don't see the argument explicitly written when you call .apply(your function name ), it's happening behind the scenes.

[AkriteePathak]

You all can also connect the drive to colab
So that you don't have to upload data again and again
Happy learning😁

[harshit]

Plz put time stamps in the description ☺️

[iam_shiv]

That "Maar Ho Jayega " Was Personal 😂

[FauziStudent]

1:44:15 par, ipl['did_kohli_played'] = ipl['all player'].apply(did_kohli_play), hai, , isme did_kohli_play function hai .apply mei, usme parameters kyu nhi diya?