Question
Which data transformation technique would be best for
converting categorical variables, such as “Gender” (Male, Female), into a format usable in machine learning models?Solution
One-hot encoding is a technique used to convert categorical variables into a numerical format, where each category is represented by a binary variable. For instance, in the “Gender” variable, one-hot encoding would create two binary columns: “Male” and “Female.” Each observation will have a value of 1 in one column and 0 in the other, making the data usable in machine learning algorithms that require numerical input. One-hot encoding prevents ordinal relationships from being falsely implied, ensuring accurate representation of non-numeric data in modeling. The other options are incorrect because: • Option 1 (normalization) scales data but is ineffective for categorical conversion. • Option 3 (logarithmic transformation) is used for continuous data to reduce skew, not categorical data. • Option 4 (binning) groups continuous data into categories rather than encoding existing categories. • Option 5 (polynomial transformation) applies to numerical features and is unrelated to categorical conversion.
If the entry code for Batch A on Thursday (4th May,2017) was “camera affixes to the hands knuckles that takes in”, then which of the fol...
What is the difference between the numbers which is third from the right end and second from the left end in Step V?
Input for Qs. 6 - 10: 28 33 92 35 73 46 84 11
In step II of th...
Which of the following would be the last step of the rearrangement?
How many steps are required to complete the given arrangement?
Step II of an input is: with the blurry photo of herself a
Which of the following is definitely the input?
What will be the 14th step for the following input?
Input: the rule changes will come into effect for
...Which element is between “depths” and “vitae” in step IV?
Who sits second to the right of seventh letter from right in step VI?
Which of following is correct with respect to the position of ‘63’ in step-V?