GitHub

NullPointerException when using OneHotEncoder with Integer Categorical Variables in sklearn2pmml

all I am trying to do is use the OneHotEncoder on all my categorical variables. However, I noticed that if the categorical feature has integer values, I get the error ...
IEEE

Data Preprocessing for Intrusion Detection System Using Encoding and Normalization Approaches

Abstract: This work presents a data preparation and data preprocessing framework to support deep learning and network security experts in producing qualitative data for empirical experimental analysis ...
GitHub

sklearn.preprocess.OneHotEncoder(categorical_features = categorical_features)

sklearn.preprocess.OneHotEncoder (categorical_features = categorical_features) #696 Open wjiames opened on Oct 5, 2022 · edited by wjiames ...
marktechpost

Building a Feedforward Neural Network using Pytorch NN Module

Feedforward neural networks are also known as Multi-layered Network of Neurons (MLN). These network of models are called feedforward because the information only travels forward in the neural network, ...
Hacker

Application of Synthetic Minority Over-sampling Technique (SMOTe) for Imbalanced Data-sets

Your browser does not support the audio element. Training a Machine Learning Model with this imbalanced dataset, often causes the model to develop a certain bias ...
Hacker

What is One Hot Encoding? Why And When do you have to use it?

So, you’re playing with ML models and you encounter this “One hot encoding” term all over the place. You see the sklearn documentation for one hot encoder and it says “ Encode categorical integer ...