Pandas

by CampusX · 21 videos

Total watch time

2h 58m

at speed · exactly 2 hours, 57 minutes, 55 seconds at 1×

2h 57m 55s
1.25×2h 22m 20s
1.5×1h 58m 37s
1.75×1h 41m 40s
1h 28m 58s
Average video8m 28s
Longest23m 10s
Shortest2m 47s
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Videos (21)

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Watched
1 Pandas Part 1 - Introduction to Pandas 5:37 2019-10-09
2 Pandas Part 2 - Importing data using read_csv() 4:54 2019-10-09
3 Pandas Part 3 - Important functions and attributes 10:05 2019-10-09
4 Pandas Part 4 - Fetching rows and columns using iloc 10:29 2019-10-10
5 Pandas Part 5 - Filtering dataframe on a condition | Masking using boolean series 10:11 2019-10-10
6 Pandas Part 6 - The value_counts() function 2:47 2019-10-10
7 Pandas Part 7 - The Plot function 8:51 2019-10-11
8 Pandas Part 8 - Series Operations 7:11 2019-10-14
9 Pandas Part 9 - The sort_values() method 7:58 2019-10-14
10 Pandas Part 10 - The drop_duplicates() method 9:43 2019-10-14
11 Pandas Part 11- The Groupby() function 12:59 2019-10-16
12 Pandas Part 12 - Groupby on IPL Dataset 23:10 2019-10-17
13 Pandas Part 13 - The isin() function 13:53 2019-10-22
14 Pandas Part 14 - The merge function 13:33 2019-10-22
15 Pandas Part 15 - Pandas Pivot Table 6:49 2019-10-22
16 Pandas Part 16 - Applying Pivot Table to IPL Dataset 5:42 2019-10-22
17 Pandas Part 17 - The corr function 5:00 2019-10-23
18 Pandas Part 18 - The rename function 3:16 2019-10-23
19 Pandas Part 19 - The set_index() and reset_index() 4:11 2019-10-30
20 Pandas Part 20 - The dropna() method 7:08 2019-10-30
21 Pandas Part 21 - The fillna() method 4:28 2019-10-30

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