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.

MDCGS｜开源数据分类分级系统，自动敏感数据识别、数据资产梳理、静态 / 动态脱敏，满足《数据安全法》等保合规要求，私有化部署开源工具。官网：https://hyinfo.cc

📊 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

Saudi-aware PII detection & redaction for LLM pipelines. Checksum-validates National ID, Iqama, IBAN, CR, VAT, +966 numbers, passport & more; evasion-resistant; redacts before OpenAI/Anthropic with PDPL/NDMO audit. Local-first, zero telemetry.

Agents change faster than audits. Ancilis discovers what agents can do, classifies the data they touch, activates the right controls, and continuously proves compliance. Trust your agents in production.

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.

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

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.

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