Mr. Vivek Kumar·Jul 27Feature Encoding Explained in DetailOrdinal, One Hot Encoder (OHE), Count/Frequency, Binary, Target/Mean, Weight of Evidence (WoE) Encoder
Dalvolinda Silva·Jan 18, 2025Pandas: data cleaning and processingThis is an online course with 52 activities and an estimated workload of 8 hours, finished on January 17, 2025. Topics include the…
Hema Kalyan Murapaka·Apr 9, 2024Natural Language Processing: One Hot EncodingWelcome Medium Fam! In the vast landscape of Natural Language Processing (NLP), where machines strive to understand the intricacies of…
Namsoo Lee·Nov 15, 2023What happens if you use OneHotEncoder to ordinal categorical features for a DecisionTreeClassifier?I’m learning to use a machine learning model for a dataset of survey responses on vaccination rates. All features in the dataset are either…
Dyah Ayu Sekar Kinasih·Aug 27, 2023Categorical Feature in Decision Tree ClassifierAble to handle both numerical and categorical data. However, the scikit-learn implementation does not support categorical variables for now
Alberto Ortiz Becerril·Feb 3, 2023Tipos de datos y algunas transformacionesDejo el link al ipynb para descargarlo
Senan Mehdiyev·Jun 20, 2022What is the difference between Label Encoding and One-Hot Encoding (or Creating Dummies)?Let’s start with the explanation. We know that before the modeling process, there must be pre-processing to make the data to obtain the…
