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I learned about dealing with missing values using Pandas & sk-learn:
1. Pandas [imputing missing values using fillna() with mean, median--> (Numerical), mode--> (categorical)]
2. Sk-learn [using simpleImputer, Uni-variate(imputing based on one column), Multi-variate(impute using IterativeImputer based on all the columns)
3. KNN Imputer(Sk-learn method)
4. Forward/Backward fill [using fillna(ffill(),bfill()) in pandas]
5. Dropping the missing values [use dropna()]
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I've practiced all these concepts as well.
done
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Done
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Done
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done
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good explaination
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great lecture
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jazakumllah kharn ameen
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I am doing all this with google colab
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I have done this lecture with 100% practice.
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