During the Feature Encoding in Machine Learning Training pipeline we encode the categorical features into numbers.
In this video I explained when we get the dully variable trap issue during feature encoding with One-Hot Encoding method and how we can resolve this issue.
I hope you are familiar with below encoding methods and if not, please checkout my Feature Engineering Playlist.
- Sklearn.preprocessing. OneHotEncoder
- pandas.get_dummies
#LabelEncoder #OrdinalEncoder
#FeatureEncoding #FeatureEngineering #FeatureTransformation #DataScience #MachineLearning #CategoricalEncoding #dummyvariabletrap
Python Notebook : https://github.com/atulpatelDS/Youtube/blob/main/Feature_Engineering/Categorical%20Features%20Encoding%20Ordinal%20Encoding%20Label%20Encoding%20OnehotEncoding%20-%20Feature%20Transformation%20Tutorial%204%20%2C5%20%2C6.ipynb
#FeatureEncoding #DataScience #MachineLearning
