Feature Engineering

Alink is the Machine Learning algorithm platform based on Flink, developed by the PAI team of Alibaba computing platform.

Hopsworks - Data-Intensive AI platform with a Feature Store

Documentation for Redis, Redis Cloud, Redis Enterprise, Redis Iris, Redis Insight, RDI, Redis Feature Form, and Redis Radar

FAMILIAR language and API

Relation Extraction (spatial and temporal together, person-location-time ) from raw web news text in different languages(English, German, Hindi). Different Natural Language Processing techniques and Machine Learning techniques are exercised. Feature Engineering was the most critical part that I already designed common to all experimenting langu…

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.

Exploiting Behavioral Features to Detect Fake Reviews by Means of Contextual Features

Biomedical Abbreviation Miner (BioAB Miner)

Software: The Adaptive Approximation Software Toolbox (Neural Tree Algorithm) is a function approximation and feature selection tool that uses genetic programming for constructing tree like structure to construct an adaptive multi-layer perceptron. This standalone software toolbox solves prediction problems. The developed algorithm performs mult…

Natural Entity Recognition Using Natural Language Processing

Code for "Detection of LLM-Generated Java Code Using Discretized Nested Bigrams" (arXiv:2502.15740). Achieves state-of-the-art performance in distinguishing human vs. LLM-written Java.

Enhancing arabic named entity recognition with the maximum entropy markov model and feature engineering to improve person entity recognition, focusing on context aware features and challenges in arabic language

Event-native research infrastructure for deterministic replay, reproducible streaming analytics, and market-data feature computation (Java/Spring Boot)

A content recommendation engine using two-tower neural networks, reactive Java, and event-driven architecture.

Arabic Named Entity Recognition project using MEMM, Viterbi decoding, and feature engineering for sequence labeling.

📊 Visualize linear regression in real-time with this Java Swing app. Enter data points and watch updates instantly for clear insights and analysis.

📊 Streamline your data workflow with this PySpark starter for Telco Customer Churn, from data cleaning to feature engineering in one command.