Trending repositories for topic feature-engineering
Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage and metadata. Runs and scales everywhere python does.
Book_6_《数据有道》 | 鸢尾花书：从加减乘除到机器学习；欢迎大家批评指正！纠错多的同学会得到赠书感谢！
Intelligent Trading Bot: Automatically generating signals and trading based on machine learning and feature engineering
Time-series machine learning at scale. Built with Polars for embarrassingly parallel feature extraction and forecasts on panel data.
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
Deep Learning and Machine Learning stocks represent promising opportunities for both long-term and short-term investors and traders.
The Virtual Feature Store. Turn your existing data infrastructure into a feature store.
Alink is the Machine Learning algorithm platform based on Flink, developed by the PAI team of Alibaba computing platform.
Feature Engineering and Feature Importance in Machine Learning for Financial Markets
Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.
Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
An open source python library for automated feature engineering
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage and metadata. Runs and scales everywhere python does.
Feature Engineering and Feature Importance in Machine Learning for Financial Markets
Intelligent Trading Bot: Automatically generating signals and trading based on machine learning and feature engineering
Time-series machine learning at scale. Built with Polars for embarrassingly parallel feature extraction and forecasts on panel data.
Book_6_《数据有道》 | 鸢尾花书：从加减乘除到机器学习；欢迎大家批评指正！纠错多的同学会得到赠书感谢！
Deep Learning and Machine Learning stocks represent promising opportunities for both long-term and short-term investors and traders.
The Virtual Feature Store. Turn your existing data infrastructure into a feature store.
Alink is the Machine Learning algorithm platform based on Flink, developed by the PAI team of Alibaba computing platform.
Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.
Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
An open source python library for automated feature engineering
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage and metadata. Runs and scales everywhere python does.
Book_6_《数据有道》 | 鸢尾花书：从加减乘除到机器学习；欢迎大家批评指正！纠错多的同学会得到赠书感谢！
This repository contains resources in the form of ebooks, which are related to Data Science, Machine Learning, and similar topics.
An open source python library for automated feature engineering
Intelligent Trading Bot: Automatically generating signals and trading based on machine learning and feature engineering
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.
Time-series machine learning at scale. Built with Polars for embarrassingly parallel feature extraction and forecasts on panel data.
Feature engineering package with sklearn like functionality
Data search & enrichment library for Machine Learning → Easily find and add relevant features to your ML & AI pipeline from hundreds of public and premium external data sources, including open & comme...
Deep Learning and Machine Learning stocks represent promising opportunities for both long-term and short-term investors and traders.
A Guide for Feature Engineering and Feature Selection, with implementations and examples in Python.
The Virtual Feature Store. Turn your existing data infrastructure into a feature store.
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
Complete-Life-Cycle-of-a-Data-Science-Project
NVTabular is a feature engineering and preprocessing library for tabular data designed to quickly and easily manipulate terabyte scale datasets used to train deep learning based recommender systems.
This repository contains resources in the form of ebooks, which are related to Data Science, Machine Learning, and similar topics.
Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage and metadata. Runs and scales everywhere python does.
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
Fast, high-quality forecasts on relational and multivariate time-series data powered by new feature learning algorithms and automated ML.
Data search & enrichment library for Machine Learning → Easily find and add relevant features to your ML & AI pipeline from hundreds of public and premium external data sources, including open & comme...
Feature Engineering and Feature Importance in Machine Learning for Financial Markets
Intelligent Trading Bot: Automatically generating signals and trading based on machine learning and feature engineering
Using data analytics and machine learning to create a comprehensive and profitable system for predicting the outcomes of NBA games.
Book_6_《数据有道》 | 鸢尾花书：从加减乘除到机器学习；欢迎大家批评指正！纠错多的同学会得到赠书感谢！
Time-series machine learning at scale. Built with Polars for embarrassingly parallel feature extraction and forecasts on panel data.
Complete-Life-Cycle-of-a-Data-Science-Project
Package for Heart Rate Variability analysis in Python
Desbordante is a high-performance data profiler that is capable of discovering many different patterns in data using various algorithms. It also allows to run data cleaning scenarios using these algor...
Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.
Deep Learning and Machine Learning stocks represent promising opportunities for both long-term and short-term investors and traders.
A Guide for Feature Engineering and Feature Selection, with implementations and examples in Python.
Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage and metadata. Runs and scales everywhere python does.
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
Book_6_《数据有道》 | 鸢尾花书：从加减乘除到机器学习；欢迎大家批评指正！纠错多的同学会得到赠书感谢！
An open source python library for automated feature engineering
This repository contains resources in the form of ebooks, which are related to Data Science, Machine Learning, and similar topics.
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
The Virtual Feature Store. Turn your existing data infrastructure into a feature store.
Feature engineering package with sklearn like functionality
Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.
Intelligent Trading Bot: Automatically generating signals and trading based on machine learning and feature engineering
Time-series machine learning at scale. Built with Polars for embarrassingly parallel feature extraction and forecasts on panel data.
A Guide for Feature Engineering and Feature Selection, with implementations and examples in Python.
Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
Use advanced feature engineering strategies and select best features from your data set with a single line of code. Created by Ram Seshadri. Collaborators welcome.
Deep Learning and Machine Learning stocks represent promising opportunities for both long-term and short-term investors and traders.
Mobile app for planning tasks for the day with multimodule architecture, MVI, Compose, Room, Voyager, AlarmManager, Notification, Charts
Alink is the Machine Learning algorithm platform based on Flink, developed by the PAI team of Alibaba computing platform.
This repository contains resources in the form of ebooks, which are related to Data Science, Machine Learning, and similar topics.
A detailed summary of "Designing Machine Learning Systems" by Chip Huyen. This book gives you and end-to-end view of all the steps required to build AND OPERATE ML products in production. It is a must...
Semi-automatic feature engineering process using Language Models and your dataset descriptions. Based on the paper "LLMs for Semi-Automated Data Science: Introducing CAAFE for Context-Aware Automated ...
Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage and metadata. Runs and scales everywhere python does.
Fast, high-quality forecasts on relational and multivariate time-series data powered by new feature learning algorithms and automated ML.
Customers in the telecom industry can choose from a variety of service providers and actively switch from one to the next. With the help of ML classification algorithms, we are going to predict the Ch...
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
A toolkit to boost the productivity of machine learning engineers.
Mobile app for planning tasks for the day with multimodule architecture, MVI, Compose, Room, Voyager, AlarmManager, Notification, Charts
Book_6_《数据有道》 | 鸢尾花书：从加减乘除到机器学习；欢迎大家批评指正！纠错多的同学会得到赠书感谢！
Intelligent Trading Bot: Automatically generating signals and trading based on machine learning and feature engineering
Feature Engineering and Feature Importance in Machine Learning for Financial Markets
Use advanced feature engineering strategies and select best features from your data set with a single line of code. Created by Ram Seshadri. Collaborators welcome.
Desbordante is a high-performance data profiler that is capable of discovering many different patterns in data using various algorithms. It also allows to run data cleaning scenarios using these algor...
An open source python library for automated feature engineering based on Genetic Programming
Time-series machine learning at scale. Built with Polars for embarrassingly parallel feature extraction and forecasts on panel data.
Package for Heart Rate Variability analysis in Python
Time-series machine learning at scale. Built with Polars for embarrassingly parallel feature extraction and forecasts on panel data.
Develop and deploy a real-time feature pipeline in Python, using Bytewax 🐝 and Hopsworks Feature Store.
Learn to build a modular real-time feature pipeline, so you avoid Offline-Online Feature Skew, and your deployed ML models work as expected.
Book_6_《数据有道》 | 鸢尾花书：从加减乘除到机器学习；欢迎大家批评指正！纠错多的同学会得到赠书感谢！
Time-series machine learning at scale. Built with Polars for embarrassingly parallel feature extraction and forecasts on panel data.
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage and metadata. Runs and scales everywhere python does.
Temporian is an open-source Python library for preprocessing ⚡ and feature engineering 🛠 temporal data 📈 for machine learning applications 🤖
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
An open source python library for automated feature engineering
The Virtual Feature Store. Turn your existing data infrastructure into a feature store.
Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.
Mobile app for planning tasks for the day with multimodule architecture, MVI, Compose, Room, Voyager, AlarmManager, Notification, Charts
Feature engineering package with sklearn like functionality
Deep Learning and Machine Learning stocks represent promising opportunities for both long-term and short-term investors and traders.
Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
Desbordante is a high-performance data profiler that is capable of discovering many different patterns in data using various algorithms. It also allows to run data cleaning scenarios using these algor...
Intelligent Trading Bot: Automatically generating signals and trading based on machine learning and feature engineering
An intuitive library to extract features from time series.
A low code Machine Learning personalized ranking service for articles, listings, search results, recommendations that boosts user engagement. A friendly Learn-to-Rank engine
Implementation/Tutorial of using Automated Machine Learning (AutoML) methods for static/batch and online/continual learning
A Guide for Feature Engineering and Feature Selection, with implementations and examples in Python.
Mobile app for planning tasks for the day with multimodule architecture, MVI, Compose, Room, Voyager, AlarmManager, Notification, Charts
Develop and deploy a real-time feature pipeline in Python, using Bytewax 🐝 and Hopsworks Feature Store.
Temporian is an open-source Python library for preprocessing ⚡ and feature engineering 🛠 temporal data 📈 for machine learning applications 🤖
Desbordante is a high-performance data profiler that is capable of discovering many different patterns in data using various algorithms. It also allows to run data cleaning scenarios using these algor...
Learn to build a modular real-time feature pipeline, so you avoid Offline-Online Feature Skew, and your deployed ML models work as expected.
Fast, high-quality forecasts on relational and multivariate time-series data powered by new feature learning algorithms and automated ML.
Compute and store real-time features for crypto trading using Bytwax (stream processing) and Hopsworks (Feature Store)
Feature Engineering and Feature Importance in Machine Learning for Financial Markets
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
The DBT of ML, as Aligned describes data dependencies in ML systems, and reduce technical data debt
Book_6_《数据有道》 | 鸢尾花书：从加减乘除到机器学习；欢迎大家批评指正！纠错多的同学会得到赠书感谢！
Using data analytics and machine learning to create a comprehensive and profitable system for predicting the outcomes of NBA games.
Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage and metadata. Runs and scales everywhere python does.
Customers in the telecom industry can choose from a variety of service providers and actively switch from one to the next. With the help of ML classification algorithms, we are going to predict the Ch...
Regular practice on Data Science, Machien Learning, Deep Learning, Solving ML Project problem, Analytical Issue. Regular boost up my knowledge. The goal is to help learner with learning resource on Da...
Intelligent Trading Bot: Automatically generating signals and trading based on machine learning and feature engineering
The objective of this project is to analyze the 3 million grocery orders from more than 200,000 Instacart users and predict which previously purchased item will be in user's next order. Customer segme...
FeatHub - A stream-batch unified feature store for real-time machine learning
An open source python library for automated feature engineering based on Genetic Programming