Trending repositories for topic feature-engineering
Intelligent Trading Bot: Automatically generating signals and trading based on machine learning and feature engineering
Welcome to the Data Science EBooks repository! This collection offers a variety of high-quality ebooks on Data Science, Machine Learning, and AI. Perfect for both beginners and advanced learners, expl...
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.
Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
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!
The Virtual Feature Store. Turn your existing data infrastructure into a feature store.
Time-series machine learning at scale. Built with Polars for embarrassingly parallel feature extraction and forecasts on panel data.
Hopsworks - Data-Intensive AI platform with a Feature Store
A Guide for Feature Engineering and Feature Selection, with implementations and examples in Python.
Welcome to the Data Science EBooks repository! This collection offers a variety of high-quality ebooks on Data Science, Machine Learning, and AI. Perfect for both beginners and advanced learners, expl...
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.
Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
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!
Hopsworks - Data-Intensive AI platform with a Feature Store
A Guide for Feature Engineering and Feature Selection, with implementations and examples in Python.
An open source python library for automated feature engineering
Intelligent Trading Bot: Automatically generating signals and trading based on machine learning and 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!
Welcome to the Data Science EBooks repository! This collection offers a variety of high-quality ebooks on Data Science, Machine Learning, and AI. Perfect for both beginners and advanced learners, expl...
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.
A Guide for Feature Engineering and Feature Selection, with implementations and examples in Python.
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
The Virtual Feature Store. Turn your existing data infrastructure into a feature store.
Pixeltable — AI Data infrastructure providing a declarative, incremental approach for multimodal workloads.
Using data analytics and machine learning to create a comprehensive and profitable system for predicting the outcomes of NBA games.
Time-series machine learning at scale. Built with Polars for embarrassingly parallel feature extraction and forecasts on panel data.
Feathr – A scalable, unified data and AI engineering platform for enterprise
Feature engineering package with sklearn like functionality
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
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...
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 ...
Mobile app for planning tasks for the day with multimodule architecture, MVI, Compose, Room, Voyager, AlarmManager, Notification, Charts
Pixeltable — AI Data infrastructure providing a declarative, incremental approach for multimodal workloads.
Welcome to the Data Science EBooks repository! This collection offers a variety of high-quality ebooks on Data Science, Machine Learning, and AI. Perfect for both beginners and advanced learners, expl...
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...
Using data analytics and machine learning to create a comprehensive and profitable system for predicting the outcomes of NBA games.
Intelligent Trading Bot: Automatically generating signals and trading based on machine learning and feature engineering
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!
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/tracing and metadata. Runs and scales everywhere python does.
The Virtual Feature Store. Turn your existing data infrastructure into a feature store.
Mobile app for planning tasks for the day with multimodule architecture, MVI, Compose, Room, Voyager, AlarmManager, Notification, Charts
Time-series machine learning at scale. Built with Polars for embarrassingly parallel feature extraction and forecasts on panel data.
Serverless Machine Learning Course for building AI-enabled Prediction Services from models and features
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.
Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
Feathr – A scalable, unified data and AI engineering platform for enterprise
Feature engineering package with sklearn like functionality
Hopsworks - Data-Intensive AI platform with a Feature Store
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.
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!
Welcome to the Data Science EBooks repository! This collection offers a variety of high-quality ebooks on Data Science, Machine Learning, and AI. Perfect for both beginners and advanced learners, expl...
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
An open source python library for automated feature engineering
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
A Guide for Feature Engineering and Feature Selection, with implementations and examples in Python.
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
Feature engineering package with sklearn like functionality
Pixeltable — AI Data infrastructure providing a declarative, incremental approach for multimodal workloads.
Time-series machine learning at scale. Built with Polars for embarrassingly parallel feature extraction and forecasts on panel data.
An intuitive library to extract features from time series.
Mobile app for planning tasks for the day with multimodule architecture, MVI, Compose, Room, Voyager, AlarmManager, Notification, Charts
We well know GANs for success in the realistic image generation. However, they can be applied in tabular data generation. We will review and examine some recent papers about tabular GANs in action.
The Virtual Feature Store. Turn your existing data infrastructure into a feature store.
Using data analytics and machine learning to create a comprehensive and profitable system for predicting the outcomes of NBA games.
Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning alg...
Pixeltable — AI Data infrastructure providing a declarative, incremental approach for multimodal workloads.
Welcome to the Data Science EBooks repository! This collection offers a variety of high-quality ebooks on Data Science, Machine Learning, and AI. Perfect for both beginners and advanced learners, expl...
Using data analytics and machine learning to create a comprehensive and profitable system for predicting the outcomes of NBA games.
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.
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 ...
This repository includes code for the AutoML-based IDS and adversarial attack defense case studies presented in the paper "Enabling AutoML for Zero-Touch Network Security: Use-Case Driven Analysis" pu...
IbisML is a library for building scalable ML pipelines using Ibis.
Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.
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!
We well know GANs for success in the realistic image generation. However, they can be applied in tabular data generation. We will review and examine some recent papers about tabular GANs in action.
Python package implementing transformers for pre processing steps for machine learning.
Deep Learning and Machine Learning stocks represent promising opportunities for both long-term and short-term investors and traders.
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...
Machine Learning for Retail Sales Forecasting — Features Engineering
To provide the stego community with C/C++ implementations of selected feature extractors mainly targeted at H.264 steganography.
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...
dpq is an open-source python library that makes prompt-based data transformations and feature engineering easy
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.
Welcome to the Data Science EBooks repository! This collection offers a variety of high-quality ebooks on Data Science, Machine Learning, and AI. Perfect for both beginners and advanced learners, expl...
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
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
An open source python library for automated feature engineering
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...
Feature engineering package with sklearn like functionality
Time-series machine learning at scale. Built with Polars for embarrassingly parallel feature extraction and forecasts on panel data.
Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.
A Guide for Feature Engineering and Feature Selection, with implementations and examples in Python.
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
Mobile app for planning tasks for the day with multimodule architecture, MVI, Compose, Room, Voyager, AlarmManager, Notification, Charts
The Virtual Feature Store. Turn your existing data infrastructure into a feature store.
An intuitive library to extract features from time series.
Temporian is an open-source Python library for preprocessing ⚡ and feature engineering 🛠 temporal data 📈 for machine learning applications 🤖
Serverless Machine Learning Course for building AI-enabled Prediction Services from models and features
Welcome to the Data Science EBooks repository! This collection offers a variety of high-quality ebooks on Data Science, Machine Learning, and AI. Perfect for both beginners and advanced learners, expl...
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
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 Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
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.
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!
Python package implementing transformers for pre processing steps for machine learning.
The DBT of ML, as Aligned describes data dependencies in ML systems, and reduce technical data debt
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...
Using data analytics and machine learning to create a comprehensive and profitable system for predicting the outcomes of NBA games.