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One of most excruciating pain points during Data Exploration and Preparation stage of an Analytics project are missing values.
How do you deal with missing values - ignore or treat them? The answer would depend on the percentage of those missing values in the dataset, the variables affected by missing values, whether those missing values are a part of dependent or the independent variables, etc. Missing Value treatment becomes important since the data insights or the…Continue
Dealing with Outliers is like searching a needle in a haystack
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