the main aspects that must have a consideration are: - summary of the main characteristics of the data. - uncover the relationship between...
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Convert categorical variable to quantitative variable
-One-hot encoding: Add dummy variable (A, B, C,..) for each unique category or assign 0,1 for each category, for example, let's have ...
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Binning in Python
The main meaning of binning is to group values into "Bins", or convert numerical values into categorical. For ex...
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Methods of normalizing data
The main three methods of normalizing data are: Simple Feature Scaling[0,1] \[X_{new} = \frac{X_{old}}{X_{ma...
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Data Normalization in Python
Normalization refers to transforming the data to the range of [0, 1] (or any range), or sometimes just transforming the data on the unit s...
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