Feature Engineering

tsfreshJupyter Notebook

Automatically extracts and selects relevant features from time series data for machine learning tasks.

FeaturetoolsPython

An open-source Python library for automated feature engineering using Deep Feature Synthesis.

FeaturetoolsPython

An open-source Python library for automated feature engineering using Deep Feature Synthesis.

stockpredictionaiJavaScript

A complete AI-driven process using GANs with LSTM and CNN to predict stock price movements, incorporating diverse data sources and hyperparameter optimization.

aerosolveScala

A machine learning library designed for human interpretability, featuring debuggable models and a feature transform language.

mljar-supervisedPython

An Automated Machine Learning Python package for tabular data with feature engineering, hyperparameter tuning, explanations, and automatic documentation.

HamiltonJupyter Notebook

A Python library for defining portable, modular, and testable data transformation DAGs with built-in lineage and metadata.

HamiltonJupyter Notebook

A lightweight Python library for creating portable, expressive, and testable data transformation DAGs with built-in lineage and metadata.

SGX-Full-OrderBook-Tick-Data-Trading-StrategyJupyter Notebook

A machine learning framework for developing high-frequency trading strategies using full orderbook tick data.

Feature EnginePython

A Python library for feature engineering and selection with scikit-learn compatible transformers.

Auto MLPython

Automated machine learning library for production and analytics, handling feature engineering, model selection, and hyperparameter optimization.