Trending repositories for topic feature-engineering
An intuitive library to extract features from time series.
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.
This repository contains resources in the form of ebooks, which are related to Data Science, Machine Learning, and similar topics.
Deep Learning and Machine Learning stocks represent promising opportunities for both long-term and short-term investors and traders.
Feature engineering package with sklearn like functionality
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
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.
An open source python library for automated feature engineering
A New Interactive Approach to Learning Data Analysis
Using data analytics and machine learning to create a comprehensive and profitable system for predicting the outcomes of NBA games.
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...
Hopsworks - Data-Intensive AI platform with a Feature Store
A Guide for Feature Engineering and Feature Selection, with implementations and examples in Python.
Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.
A New Interactive Approach to Learning Data Analysis
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
This repository contains resources in the form of ebooks, which are related to Data Science, Machine Learning, and similar topics.
Using data analytics and machine learning to create a comprehensive and profitable system for predicting the outcomes of NBA games.
An intuitive library to extract features from time series.
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...
Deep Learning and Machine Learning stocks represent promising opportunities for both long-term and short-term investors and traders.
Feature engineering package with sklearn like functionality
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.
Hopsworks - Data-Intensive AI platform with a Feature Store
A Guide for Feature Engineering and Feature Selection, with implementations and examples in Python.
Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
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.
An intuitive library to extract features from time series.
Deep Learning and Machine Learning stocks represent promising opportunities for both long-term and short-term investors and traders.
Feature engineering package with sklearn like functionality
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 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.
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.
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...
Time-series machine learning at scale. Built with Polars for embarrassingly parallel feature extraction and forecasts on panel data.
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.
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.
Mobile app for planning tasks for the day with multimodule architecture, MVI, Compose, Room, Voyager, AlarmManager, Notification, Charts
Hopsworks - Data-Intensive AI platform with a Feature Store
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...
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...
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.
A New Interactive Approach to Learning Data Analysis
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...
Using data analytics and machine learning to create a comprehensive and profitable system for predicting the outcomes of NBA games.
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...
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 ...
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
Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.
Deep Learning and Machine Learning stocks represent promising opportunities for both long-term and short-term investors and traders.
Package for Heart Rate Variability analysis in Python
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.
Feature engineering package with sklearn like functionality
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！
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.
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
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.
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.
Intelligent Trading Bot: Automatically generating signals and trading based on machine learning and feature engineering
Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.
An intuitive library to extract features from time series.
IbisML is a library for building scalable ML pipelines using Ibis.
Time-series machine learning at scale. Built with Polars for embarrassingly parallel feature extraction and forecasts on panel data.
A low code Machine Learning personalized ranking service for articles, listings, search results, recommendations that boosts user engagement. A friendly Learn-to-Rank engine
Hopsworks - Data-Intensive AI platform with a Feature Store
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
IbisML is a library for building scalable ML pipelines using Ibis.
Pixeltable provides data-centric AI infrastructure with a declarative, incremental approach for multimodal workloads.
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 ...
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...
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.
Machine Learning for Retail Sales Forecasting — Features Engineering
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.
Deep Learning and Machine Learning stocks represent promising opportunities for both long-term and short-term investors and traders.
A New Interactive Approach to Learning Data Analysis
Mobile app for planning tasks for the day with multimodule architecture, MVI, Compose, Room, Voyager, AlarmManager, Notification, Charts
Intelligent Trading Bot: Automatically generating signals and trading based on machine learning and 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...
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...
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.
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
Time-series machine learning at scale. Built with Polars for embarrassingly parallel feature extraction and forecasts on panel data.
An open source python library for automated feature engineering
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.
This repository contains resources in the form of ebooks, which are related to Data Science, Machine Learning, and similar topics.
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
Mobile app for planning tasks for the day with multimodule architecture, MVI, Compose, Room, Voyager, AlarmManager, Notification, Charts
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.
Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
A low code Machine Learning personalized ranking service for articles, listings, search results, recommendations that boosts user engagement. A friendly Learn-to-Rank engine
An intuitive library to extract features from time series.
A Guide for Feature Engineering and Feature Selection, with implementations and examples in Python.
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...
Pixeltable provides data-centric AI infrastructure with 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...
Python framework for interpretable protein prediction
Fast, high-quality forecasts on relational and multivariate time-series data powered by new feature learning algorithms and automated ML.
Mobile app for planning tasks for the day with multimodule architecture, MVI, Compose, Room, Voyager, AlarmManager, Notification, Charts
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 ...
The DBT of ML, as Aligned describes data dependencies in ML systems, and reduce technical data debt
Temporian is an open-source Python library for preprocessing ⚡ and feature engineering 🛠 temporal data 📈 for machine learning applications 🤖
Using data analytics and machine learning to create a comprehensive and profitable system for predicting the outcomes of NBA games.
Compute and store real-time features for crypto trading using Bytwax (stream processing) and Hopsworks (Feature Store)
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...
Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.
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！
Intelligent Trading Bot: Automatically generating signals and trading based on machine learning and feature engineering