Interpreting Categorical Data Classifiers using Explanation-based Locality
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Updated
Feb 11, 2023 - JavaScript
Interpreting Categorical Data Classifiers using Explanation-based Locality
Categorial and numerical (ordinal and nonordinal) Data Clustering Algorithm
Scikit-klearn compatible BinaryEncoder class capable of handling unseen categories in an automated fashion
🎓 Tidy categorical tools for academics
The project is to show complete exploration to understand the categorical data, technique of handing categorical variables and after it I will build a Machine Learning Model.
PolyGibbs: Bayesian Analysis of Binary & Polychotomous Response Data
Implementation of the Entity Embedding Encoder
A small library that can encode categorical variables to entity embeddings using a TensorFlow 2.0 neural network. Supports classification and regression problems. Network parameters are adjustable.
Smooth Effects on Response Penalty for CLM
A simplified algorithm to cluster mixed-type data(numerical and categorical).
This repo contains code, a presentation, and a project report regarding suicide rates in the US from 1985 - 2015
This is me learning how to quickly improve the quality of my models.
Predictive Analysis Course's notes for Computer Science B.S. at Ca' Foscari University of Venice
All about emotion recognition.
This is a Shiny App created with the data of climacteric stations in Ottawa, Canada. It helps understand the time series of data recorded and obtain final predictions from some statistical models. Correlation as well can be achieved based also on monthly categories.
Final project program DBA mitra Ruangguru X Studi Independen Bersertifikat Kampus Merdeka batch 2
Life expectancy data processing
Bayesian network analysis in R
Multivariate analysis (MVA) of high dimensional heterogeneous data
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