Efficient matrix representations for working with tabular data
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Updated
May 13, 2024 - Python
Efficient matrix representations for working with tabular data
Bayesian network analysis in R
Welcome to my data analysis projects repository! Here, you'll find a collection of my data analysis projects showcasing my skills in extracting insights from data using various tools and techniques.
Repository of the paper "A benchmark of categorical encoders for binary classification".
Life expectancy data processing
We’ll work with a dataset of Jeopardy questions to figure out some patterns in the questions that could help one win.
Predictive Analysis Course's notes for Computer Science B.S. at Ca' Foscari University of Venice
Quickly make tables of descriptive statistics (i.e., counts, percentages, confidence intervals) for categorical variables. This package is designed to work in a tidyverse pipeline, and consideration has been given to get results from R to Microsoft Word ® with minimal pain.
A mixed attributes predictive algorithm implemented in Python.
Categorial and numerical (ordinal and nonordinal) Data Clustering Algorithm
Power and Sample Size Calculation for the Cochran-Mantel-Haenszel Chi-Squared Test
FuzzykCenters algorithms for fuzzy clustering categorical data
Categorical Functional Data Analysis
Usage of AutoML library like H2O.ai to create predictive models and interpret them. Found a significant relation for each algorithm in the data. Created multivariate models.
CLOPE Clustering Algorithm
The Battle of Neighborhoods Capstone Project for the IBM Professional Certificate on Coursera.
Cluster high dimensional categorical datasets
This is me learning how to quickly improve the quality of my models.
🔥[IEEE TPAMI 2023] Official repository TPAMI 2023 paper "Exploiting Field Dependencies for Learning on Categorical Data"
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