Statistics for topic feature-engineering
RepositoryStats tracks 567,270 Github repositories, of these 111 are tagged with the feature-engineering topic. The most common primary language for repositories using this topic is Python (53). Other languages include: Jupyter Notebook (36)
Stargazers over time for topic feature-engineering
Most starred repositories for topic feature-engineering (view more)
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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！
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
Feature engineering package with sklearn like functionality
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.
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！
Mobile app for planning tasks for the day with multimodule architecture, MVI, Compose, Room, Voyager, AlarmManager, Notification, Charts
Temporian is an open-source Python library for preprocessing ⚡ and feature engineering 🛠 temporal data 📈 for machine learning applications 🤖
This repository contains resources in the form of ebooks, which are related to Data Science, Machine Learning, and similar topics.
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 python library for automated feature engineering
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
Pixeltable — Data infrastructure providing a declarative, incremental approach for multimodal AI⚡
IbisML is a library for building scalable ML pipelines using Ibis.
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.
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
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
IbisML is a library for building scalable ML pipelines using Ibis.
Pixeltable — Data infrastructure providing a declarative, incremental approach for multimodal AI⚡
This repository contains resources in the form of ebooks, which are related to Data Science, Machine Learning, and similar topics.
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...
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
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 — Data infrastructure providing a declarative, incremental approach for multimodal AI⚡
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