Imputation and outlier analysis Part-1 | PYTHON PANDAS PACKAGE in Kannada | Skillfloor

Описание: Start your journey into data imputation and outlier analysis with Skillfloor’s Kannada tutorial!

In this video, discover what missing data means, why imputation is important, and learn simple ways to handle missing values in Python Pandas—using methods like mean, median, and mode filling. Also, get an introduction to identifying outliers and why removing or flagging them matters for good data analysis. This session is perfect for beginners looking to improve their data cleaning and analysis skills with practical, hands-on guidance in Kannada.

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