One Hot Encoding

Data Science, AI and ML
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#1

Sir one help- If in one data column we have 121 unique categorical entries. So can we apply one hot encoding on it. Is it the right logic.

#2

You should see the top categories and select those top categories for one hot encoding

#3

For categorical variables where no such ordinal relationship exists, the label encoding is not enough.

In fact, using label encoding and allowing the model to assume a natural ordering between categories may result in poor performance or unexpected results .

In this case, a one-hot encoding can be applied to the integer representation. This is where the label encoded variable is removed and a new binary variable is added for each unique integer value.

In the “colour” variable example, there are 3 categories(red, green , blue) and therefore 3 binary variables are needed. A “1” value is placed in the binary variable for the colour and “0” values for the other colours.

For example:

red , green , blue

1, 0, 0

0, 1, 0

0, 0, 1