categorical-encoding
There are 19 repositories under categorical-encoding topic.
cpa-analytics/embedding-encoder
Scikit-Learn compatible transformer that turns categorical variables into dense entity embeddings.
leffff/waveml
Open source machine learning library with various machine learning tools
albertusk95/weight-of-evidence-spark
Weight of Evidence Encoding & Information Value
arunsinghbabal/Controlled-Automation-for-Data-Processing
Perform semi automated exploratory data analysis, feature engineering and feature selection on provided dataset by visualizing every possibilities on each step and assisting the user to make a meaningful decision to achieve a low-bias and low-variance model.
AshiniAnantharaman/Image_classification_of_CIFAR10_dataset
The project uses Artificial Neural Network and Convolutional Neural Network to classify images into 10 different categories.
ecvsgl/MLproject-DrivenData-PumpItUp
Exploratory data analysis and model preparation for DrivenData contest: PumpItUp!
gshashank84/ResponseEncoding
Encode Categorical Features based on Target/Class
IvanSaravanja2306/Machine_Learning_Models
Machine Learning Models
Yashasvi863/Machine-Learning-Classification
Customer Churn Analysis
dixitamol/ML_code_templates_R
Code templates for different ML algorithms
ejaj/stacked-classifier
Stacked Classifier
MylieMudaliyar/Feature-Engineering-Techiques-on-House-Values
The feature engineering techniques discussed are - dimensionality reduction(pca), scaling(standard scaler, normalizer, minmaxscaler), categorical encoding(one hot/dummy), binning, clustering, feature selection. These are techniques performed on a dataset consisting of Californian House Prices.
NaquibAlam/Categorical_Encoding_Experimentation
This repo contains code for experimenting with categorical encoding - WoE, Catboost, Target encoder, and many more.
NavindaFernando/Feature-Extraction
Heart Risk Level Predicting Regression Model & Web using Feature Engineering and Data Preprocessing :baby_chick:
NiharJani2002/kaggle-Intermediate-Machine-Learning
Intermediate Machine Learning Course By Kaggle
SayamAlt/E-Commerce-Text-Classification
Successfully established a machine learning model that can accurately classify an e-commerce product into one of four categories, namely "Books", "Clothing & Accessories", "Household" and "Electronics", based on the product's description.
subhayuroy/KickStarter
🎬This KickStarter project is about some🎞 foreign films🎥 and music videos🎶. This is an analysis 📽of their 'goal currency' and release time.🎦
venkat-a/Text_Processing_RNN_LSTM
Text Processing RNN leverages RNN and LSTM models for advanced text processing. It features deep learning techniques for NLP tasks, utilizing GloVe for word embeddings, aimed at both educational and practical applications.