This video is Part 2 of the series on Python pandas tutorial. In this video, you will learn to read/write data from a CSV file, view data in different formats, handle null values, and update values in Pandas dataframe using transformation functions. I have also touched on chain indexing and how it can create issues while writing big codes with pandas.
Link to dataset: https://drive.google.com/file/d/1gb7g...
The first part of the series sets the foundation for this part, you can watch the first part here: • Python Pandas tutorial | Data analysis | P...
If you feel confident enough to do an end-to-end machine-learning project, you can watch this video where we can step-by-step complete the Titanic Kaggle project together: • Complete Kaggle Data Science Project | Mac...
Timestamps:
00:00 Recap
00:25 Intro
00:40 Import data from CSV
01:40 View the data info
02:17 View the first few row values
02:49 View the last few row values
03:10 View statistical properties
04:12 Indexing
05:45 View unique values
06:10 Count items in each category
06:50 View null values
07:31 Update values
08:16 Chain indexing warning
12:19 Alternate to chain indexing
14:38 Drop column
16:00 Handle null values
20:37 Transform values
24:48 Write to CSV file
25:18 Outro
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