I am on a machine learning project. I did import all libraries. I took one column of data(this column is array of bool) and i want to apply it labelencoder. Here is my whole code. data = pd.read_csv(‘odev_tenis.csv’) le = preprocessing.LabelEncoder() ruzgar = data.iloc[:,3:4].values #the column i want to apply labelencoder ruzgar[:,3:4] = le.fit_transform(data.iloc[:,3:4]) And… Read More i can't apply labelencoder to array of bool

I have a dataset with 39 categorical and 27 numerical features. I am trying to encode the categorical data and need to be able to inverse transform and call transform for each column again. Is there a prettier way of doing it than defining 39 separate LabelEncoder instances, and then fit_transform to each column individually?… Read More LabelEncoding large amounts of categorical data

I try to do label encoding for my cities. However, I want it to label according to which city is more than others. Let’s say; Oslo has 500 rows Berlin has 400 rows Napoli has 300 rows in the dataset So label encoding will label those cities according to value counts so; Oslo should be… Read More Label encoding by value counts