GitHub topics: categorical-data

Repositories

foxster14/decision_tree_algorithm

This is a classification exercise which uses categorical data and weighted entropy to determine the dependent variable.

Language: Python - Size: 733 KB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

heroorkrishna/Incident-Impact-Prediction

Predicting the incidents raised by the customer

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petzi53/cdar

Categorical Data Analysis with R

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suva007/clustering

CONTAINS CLUSTERING ALGORITHMS

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ygeunkim/loglinear3

Loglinear models for three-way tables

Language: R - Size: 275 KB - Last synced at: over 2 years ago - Pushed at: over 5 years ago - Stars: 1 - Forks: 0

devosmitachatterjee2018/Statistical_Inference

The project involves sampling designs and summarizing data, maximum likelihood estimation of parameters, bootstrap, parametric and non-parametric inference, the analysis of variance, linear least squares, categorical data, elements of the decision theory and bayesian inference.

Language: R - Size: 29.9 MB - Last synced at: over 2 years ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 0

CNelias/IntegerIB.jl

Information bottleneck's (IB) principle applied to categorical data clustering.

Language: Julia - Size: 57.6 KB - Last synced at: about 1 month ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 0

khushi-411/emotion-recognition

All about emotion recognition.

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vharivinay/mnist-image-classification

Categorical image classification of images using MNIST handwritten digit dataset, TensorFlow and Keras.

Language: Python - Size: 71.3 KB - Last synced at: over 2 years ago - Pushed at: about 4 years ago - Stars: 0 - Forks: 0

ygeunkim/CDA

Categorical Data Analysis

Language: TeX - Size: 7.42 MB - Last synced at: over 2 years ago - Pushed at: about 4 years ago - Stars: 0 - Forks: 0

ankit013/Catboost

Implementing Catboost

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maslick/karandashee

time series plot for categorical data

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Ankit152/Used-Car-Catalogue

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ShrishailSGajbhar/Coursera-Project

Final project for "How to win a data science competition" Coursera course

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ShrishailSGajbhar/Categorical-Feature-Encoding-Challenge-II

My solution for Kaggle competition "categorical feature encoding challenge II" with public and private score of 0.783.

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Kunal1198/Customer-Category-Prediction-ML

Supervised Learning Problem. In this categorizing the customers in four groups, as follows: 1- Basic Service 2- E-Service 3- Plus Service 4- Total Service.

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sandeepyadav10011995/Data-Science-Advanced-Statistics-ML

Fun Project -: Playing with the statistics. Main Motto -: Trying to understand the statistics underneath the various most commonly used Machine Learning Models. I have used two library i.e. Stats-Model and Scikit-Learn.

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gibsramen/mtdist

Python package to perform mixed-type distance calculations

Language: Python - Size: 16.6 KB - Last synced at: 3 months ago - Pushed at: over 5 years ago - Stars: 1 - Forks: 0

j1nma/decision-trees

🌲 Decision Trees in scikit-learn with categorical and numerical data.

Language: Python - Size: 4.88 KB - Last synced at: over 2 years ago - Pushed at: almost 6 years ago - Stars: 0 - Forks: 0

mkearney/tidycat

🎓 Tidy categorical tools for academics

Language: R - Size: 280 KB - Last synced at: 6 months ago - Pushed at: about 7 years ago - Stars: 2 - Forks: 0

ocramz/record-encode

Generic encoding of record types

Language: Haskell - Size: 39.1 KB - Last synced at: 2 days ago - Pushed at: over 6 years ago - Stars: 2 - Forks: 1

bademiya21/Supervised-Classification-of-Text-Categories

This repo describes a supervised approach to text classification using different features and classifiers. This, obviously, is good to use if there is labelled data available.

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