Dealing with categorial data: CATCODE simple fuction to label encoding with Excel
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Updated
May 17, 2023 - Visual Basic .NET
Dealing with categorial data: CATCODE simple fuction to label encoding with Excel
This code demonstrates the basic end-to-end workflow of developing, training, and evaluating a deep artificial neural network classifier on a real-world classification problem involving preprocessing of categorical variables.
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Source Code for Paper "Improving survey inference using administrative records without releasing individual-level continuous data"
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This repo consists of the various practices and concepts that we come across in the domain of DS and ML
A function to run Bhapkar's test from Bhapkar (1968) 'On the analysis of contingency tables with a quantitative response' Biometrics, 24 (2): 329-38.
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Types of Variables in Research: Numeric/Quantitative vs Categorical
Machine learning tests
Encode Categorical Features based on Target/Class
A list of python notebooks for Machine learning basics- regression and classification.
A set of gretl transformers for encoding categorical variables into numeric with different techniques
The project involves the study of performance analysis of the missForest imputation method for imputing continuous and categorical variables simultaneously.
Set of functions based on ggplot2::ggplot() for optimising the visualization process of categorical variables.
This python code shows howw regression is handled in case of categorical variables using duumies. It calculates the multiple regression code and shows the regression table. It also performs the residual analysis.
A Deep Learning Project on "IMAGE DETECTION" using MNIST and FASHION MNIST datasets. We will be using many combinations of activation fucntions, loss and other normalization techniques to show how the accuracy improves if certain parameters are added to the netwrok and many such implementations.
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