Trending repositories for topic feature-engineering
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
Pixeltable — AI Data infrastructure providing a declarative, incremental approach for multimodal workloads.
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
Intelligent Trading Bot: Automatically generating signals and trading based on machine learning and feature engineering
Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.
The Virtual Feature Store. Turn your existing data infrastructure into a feature store.
Serverless Machine Learning Course for building AI-enabled Prediction Services from models and features
A Guide for Feature Engineering and Feature Selection, with implementations and examples in Python.
OpenMLDB is an open-source machine learning database that provides a feature platform computing consistent features for training and inference.
Feature engineering package with sklearn like functionality
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
Pixeltable — AI Data infrastructure providing a declarative, incremental approach for multimodal workloads.
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
Serverless Machine Learning Course for building AI-enabled Prediction Services from models and features
Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.
The Virtual Feature Store. Turn your existing data infrastructure into a feature store.
An open source python library for automated feature engineering
A Guide for Feature Engineering and Feature Selection, with implementations and examples in Python.
OpenMLDB is an open-source machine learning database that provides a feature platform computing consistent features for training and inference.
Feature engineering package with sklearn like functionality
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
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
Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.
Pixeltable — AI Data infrastructure providing a declarative, incremental approach for multimodal workloads.
A Guide for Feature Engineering and Feature Selection, with implementations and examples in Python.
A New, Interactive Approach to Learning Data Science
This repository contains resources in the form of ebooks, which are related to Data Science, Machine Learning, and similar topics.
Intelligent Trading Bot: Automatically generating signals and trading based on machine learning and feature engineering
Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
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
An open source python library for automated feature engineering based on Genetic Programming
An intuitive library to extract features from time series.
Hopsworks - Data-Intensive AI platform with a Feature Store
Fast, high-quality forecasts on relational and multivariate time-series data powered by new feature learning algorithms and automated ML.
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...
Pixeltable — AI Data infrastructure providing a declarative, incremental approach for multimodal workloads.
A New, Interactive Approach to Learning Data Science
An open source python library for automated feature engineering based on Genetic Programming
This repository contains resources in the form of ebooks, which are related to Data Science, Machine Learning, and similar topics.
Fast, high-quality forecasts on relational and multivariate time-series data powered by new feature learning algorithms and automated ML.
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 ...
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！
Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.
A Guide for Feature Engineering and Feature Selection, with implementations and examples in Python.
Intelligent Trading Bot: Automatically generating signals and trading based on machine learning and feature engineering
FeatHub - A stream-batch unified feature store for real-time machine learning
Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.
Package for Heart Rate Variability analysis in Python
Mobile app for planning tasks for the day with multimodule architecture, MVI, Compose, Room, Voyager, AlarmManager, Notification, Charts
An intuitive library to extract features from time series.
Serverless Machine Learning Course for building AI-enabled Prediction Services from models and features
An open source python library for automated feature engineering
A Guide for Feature Engineering and Feature Selection, with implementations and examples in Python.
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
Pixeltable — AI Data infrastructure providing a declarative, incremental approach for multimodal workloads.
Mobile app for planning tasks for the day with multimodule architecture, MVI, Compose, Room, Voyager, AlarmManager, Notification, Charts
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.
Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
Feature engineering package with sklearn like functionality
Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
An intuitive library to extract features from time series.
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.
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...
Pixeltable — AI Data infrastructure providing a declarative, incremental approach for multimodal workloads.
Mobile app for planning tasks for the day with multimodule architecture, MVI, Compose, Room, Voyager, AlarmManager, Notification, Charts
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...
Data Processing/Feature Calculation Engine for real-time AI/ML
A Guide for Feature Engineering and Feature Selection, with implementations and examples in Python.
Python package implementing transformers for pre processing steps for machine learning.
Intelligent Trading Bot: Automatically generating signals and trading based on machine learning and feature engineering
Fast, high-quality forecasts on relational and multivariate time-series data powered by new feature learning algorithms and automated ML.
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
Feature Engineering and Feature Importance in Machine Learning for Financial Markets
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 ...
A New, Interactive Approach to Learning Data Science
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！
Package for Heart Rate Variability analysis in Python
An open source python library for automated feature engineering based on Genetic Programming
Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.
Developed a churn prediction model using XGBoost, with comprehensive data preprocessing and hyperparameter tuning. Applied SHAP for feature importance analysis, leading to actionable business insights...
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！
Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing 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.
This repository contains resources in the form of ebooks, which are related to Data Science, Machine Learning, and similar topics.
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.
An open source python library for automated feature engineering
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
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...
Temporian is an open-source Python library for preprocessing ⚡ and feature engineering 🛠 temporal data 📈 for machine learning applications 🤖
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
Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
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.
Deep Learning and Machine Learning stocks represent promising opportunities for both long-term and short-term investors and traders.
An intuitive library to extract features from time series.
Serverless Machine Learning Course for building AI-enabled Prediction Services from models and features
Pixeltable — AI Data infrastructure providing a declarative, incremental approach for multimodal workloads.
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...
IbisML is a library for building scalable ML pipelines using Ibis.
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...
Python framework for interpretable protein prediction
Feature Engineering and Feature Importance in Machine Learning for Financial Markets
The DBT of ML, as Aligned describes data dependencies in ML systems, and reduce technical data debt
Mobile app for planning tasks for the day with multimodule architecture, MVI, Compose, Room, Voyager, AlarmManager, Notification, Charts
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 ...
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.
Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing 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...
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！
Fast, high-quality forecasts on relational and multivariate time-series data powered by new feature learning algorithms and automated ML.
Time-series machine learning at scale. Built with Polars for embarrassingly parallel feature extraction and forecasts on panel data.