Compute Natural Breaks in Python (Fisher-Jenks algorithm)

A toolset to test data classification engines that generates mock data in various file formats, sizes and data profiles.

📊 数据挖掘常用算法：关联分析Apriori算法，数据分类决策树算法，数据聚类K-means算法

Python Data Loss Prevention (DLP) SDK - Nightfall Developer Platform

Cartography of Genomic Interactions Enables Deep Analysis of Single-Cell Expression Data (Nature Communications, 2023)

BinGuru is an open-source Typescript package to bin/classify data using 18 established binning methods, including a new method, resiliency.

Scan directories, exports, and backups for sensitive data (like PII and API keys) with Nightfall's data loss prevention (DLP) APIs. Discover what lives at-rest in your data silos.

Two differrent approach to predict Churn customers and finding out important variables that drives churn

Visual Knowledge Discovery demo tools for interactively visualizing, exploring, and identifying complex n-D data patterns in multivariate CSV data, to visualize machine learning classifier models.

Build visual machine learning models with multidimensional general line coordinate visualizations by interactive classification and synthetic data generation tools.

Discover ROPAC, a novel rule-based classifier we proposed. Here, you'll find the code, data, and original paper detailing this data classification algorithm.

Neural Network Deep learning specialization course offered via Coursera

Trust your agents in production. Data-classification-driven runtime security and compliance evidence for AI agents. Ancilis extends evidence continuity to AI agents inside regulated or certified systems.

ELT (Extract, Load, Transform) process of accelerometer/gyroscope events with Apache Spark (w/ Structured Streaming) and TimescaleDB

Multidimensional homogenous data visualization cross-platform desktop application for Computational Interactive Visual Learning using lossless General Line Coordinates with human-in-the-loop interaction and eight classifier algorithms to discover, test, and boost explainable machine learning classifier models.

Developed a Python-based web scraper leveraging generative AI with LangChain and GPT-4o-mini to extract and classify FDA drug approval data. Processed over 1,770 records, dynamically categorizing medications and treatment areas using LLMs to simplify complex medical information into actionable insights.

Классы для статистической обработки данных.

Command Line Data Visualizer

This data analysis notebook demonstrates lossless, lossy visualizations techinques, and classification methods. We demonstrate analysis of scientific data on hot-swappable datasets.

This project classify images from the CIFAR-10 dataset. The dataset consists of airplanes, dogs, cats, and other objects.