PYTHON - PANDAS Library | Machine Learning Practices | Session - 2

PYTHON - PANDAS Library | Machine Learning Practices | Session - 2
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In this session, we've covered:
- Pandas Overview
- Accessing data
- Statistical analysis of data
- Apply, map, replace
- Removing Null Values
- Changing index, columns
- Grouping data (Groupby)
- Correlation
- Reading/Writing various Data formats
Notebook & dataset can be accessed via below link:
www.kaggle.com/param302/mlp-s...
Reference notebook for Reading/Writing in various formats:
github.com/Param302/100DaysOf...
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I usually take them twice a week - Wednesday & Sunday, at 6 pm.
You can join my session calendar for details and meet links:
calendar.google.com/calendar/....
Chapters:
00:00 Session Overview
09:16 Numpy Overview
09:39 Pandas Intro
10:36 Creating a DataFrame
12:23 Reading Stackoverflow Data
17:25 Data Analysis
01:05:08: Data Cleaning
01:16:04: Data Transformation
01:57:58 Data Filtering
02:16:00 Data Grouping
02:33:20 Exporting Data
02:50:41 Reading Data from Remote URL
02:53:57 Ending Note
02:57:40 Bonus ✨ Correlation
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Bio link 🔗 param302.bio.link
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Github 🔗 github.com/Param302
Kaggle 🔗 kaggle.com/param302

[@Adaa512]

great session

[@Param3021]

Thank you!

[@thunderbolt8115]

Sir🛐🛐