One-Hot Encoding is a method to encode categorical variables to numerical data that Machine Learning algorithms can deal with.
I have a machine learning classification problem with 80% categorical variables. Must I use one hot encoding if I want to …
python pandas machine-learning one-hot-encodingLet's say I have a 1d numpy array a = array([1,0,3]) I would like to encode this as a 2D one-hot …
python numpy machine-learning numpy-ndarray one-hot-encodingIf the input is zero I want to make an array which looks like this: [1,0,0,0,0,0,0,0,0,0] and if the input is 5: [0,0,0,0,0,1,0,0,0,0] …
python numpy one-hot-encodingHow can one idiomatically run a function like get_dummies, which expects a single column and returns several, on multiple …
python pandas dataframe one-hot-encodingI'm working on a prediction problem and I'm building a decision tree in R, I have several categorical variables and …
r one-hot-encodingSay I have a categorical feature, color, which takes the values ['red', 'blue', 'green', 'orange'], and I want to use …
python scikit-learn random-forest one-hot-encodingI have a dataframe looks like this: JOINED_CO GENDER EXEC_FULLNAME GVKEY YEAR CONAME BECAMECEO REJOIN LEFTOFC LEFTCO RELEFT …
python pandas dataframe one-hot-encodingI need to transform the independent field from string to arithmetical notation. I am using OneHotEncoder for the transformation. My …
python machine-learning categorical-data one-hot-encodingI'm trying to replace a column within a Pandas DataFrame containing strings into a one-hot encoded equivalent using Scikit-Learn's OneHotEncoder. …
python pandas machine-learning scikit-learn one-hot-encodingCould anyone help with an an explanation of what axis is in TensorFlow's one_hot function? According to the documentation: …
python-3.x tensorflow machine-learning multidimensional-array one-hot-encoding