Multiplatform Java toolkit for visual-driven analysis of tabular data via multidimensional visualizations, feature engineering, data augmentation, classification rules, and case hiding.
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Updated
Oct 7, 2024 - Java
Multiplatform Java toolkit for visual-driven analysis of tabular data via multidimensional visualizations, feature engineering, data augmentation, classification rules, and case hiding.
Trabalho final da disciplina Classificação e Pesquisa de Dados, ministrada pelo Prof. Leandro Krug Wives
📂 Splits image datasets into training and testing sets for classification tasks. Useful for preparing data for machine learning models.
Compute Natural Breaks in Python (Fisher-Jenks algorithm)
Discover ROPAC, a novel rule-based classifier we proposed. Here, you'll find the code, data, and original paper detailing this data classification algorithm.
Cartography of Genomic Interactions Enables Deep Analysis of Single-Cell Expression Data (Nature Communications, 2023)
Python package for automated scraping, cleaning, and AI-driven classification of new drug approvals. Harness OpenAI's GPT-3.5 Turbo to transform complex data into actionable insights
This data analysis notebook demonstrates lossless, lossy visualizations techinques, and classification methods. We demonstrate analysis of scientific data on hot-swappable datasets.
Predicting MLB Hall of Fame status based on career statistics and accolades.
Belajar Geostats
Visual Knowledge Discovery tools for interactively visualizing, exploring, and identifying complex n-D data patterns in multivariate CSV data, to visualize machine learning classifier models.
Desktop application helping with TPR/FPR calculations and visualize ROC curve based provided parameters.
This repository is a Virtual Internship contains impressive projects related to Machine Learning.
Data classification defines and categorizes data according to its type, sensitivity, and value
A toolset to test data classification engines that generates mock data in various file formats, sizes and data profiles.
Python Data Loss Prevention (DLP) SDK - Nightfall Developer Platform
4-Weeks Data Science Internship at Oasis Infobyte
BinGuru is an open-source Typescript package to bin/classify data using 18 established binning methods, including a new method, resiliency.
Resiliency is an ensemble binning method that considers how frequently a geographic entity (e.g., county) falls in a particular bin across multiple comparable data binning methods. This application helps users visualize and interact with the outputs of Resiliency on a variety of datasets.
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