Sklearn OrdinalEncoder Example

Python

How to encode categorical features as integers.

 1|  from sklearn.preprocessing import OrdinalEncoder
 2|  
 3|  ordinal_encoder = OrdinalEncoder()
 4|  
 5|  ordinal_encoder.fit(df['Sex'].values.reshape(-1, 1))
 6|  
 7|  df['Sex'] = ordinal_encoder.transform(df['Sex'].values.reshape(-1, 1))
detro
Sklearn | Machine learning
Did you find this snippet useful?

Sign up for free to to add this to your code library

Remove Stop Words from Text in DataFrame Column
Python

Pandas | Nltk | Nlp

142
LightGBM Custom Loss Function
Python

LightGBM | Loss function

127
Tuning XGBoost Hyperparameters with Grid Search
Python

XGBoost | Tuning

122
How to Convert DataFrame Values Into Percentages
Python

Lambda | Percentages | Pipe

115
How to Scale Data Using Standard Scaler But Keep Column Names
Python

Scaler | Standard

86
LightGBM Hyperparameter Tuning with GridSearch
Python

Python | LightGBM | Hyperparameter tuning | Gridsearch

85
Calculating Root Mean Squared Error (RMSE) with Sklearn and Python
Python

Rmse

82
Dynamically Create Columns in Pandas Dataframe
Python

Pandas | Columns

65
How to Train a Catboost Classifier with GridSearch Hyperparameter Tuning
Python

Catboost | Hyperparameter tuning

65
Overwriting a Python Logging File Instead of Appending
Python

Logging

61