Statistics for topic feature-engineering
RepositoryStats tracks 584,797 Github repositories, of these 113 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 (39)
Stargazers over time for topic feature-engineering
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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！
A low code Machine Learning personalized ranking service for articles, listings, search results, recommendations that boosts user engagement. A friendly Learn-to-Rank engine
Python package implementing transformers for pre processing steps for machine learning.
Hopsworks - Data-Intensive AI platform with a Feature Store
Python package implementing transformers for pre processing steps for machine learning.
This repository contains resources in the form of ebooks, which are related to Data Science, Machine Learning, and similar topics.
IbisML is a library for building scalable ML pipelines using Ibis.
Develop and deploy a real-time feature pipeline in Python, using Bytewax 🐝 and Hopsworks Feature Store.
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！
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 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 implementing transformers for pre processing steps for machine learning.
This repository contains resources in the form of ebooks, which are related to Data Science, Machine Learning, and similar topics.
Develop and deploy a real-time feature pipeline in Python, using Bytewax 🐝 and Hopsworks Feature Store.
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！
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！
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 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
Pixeltable — AI Data infrastructure providing a declarative, incremental approach for multimodal workloads.
House price estimation from visual and textual features using both machine learning and deep learning models
This repository contains resources in the form of ebooks, which are related to Data Science, Machine Learning, and similar topics.
Python package implementing transformers for pre processing steps for machine learning.
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...
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.
Intelligent Trading Bot: Automatically generating signals and trading based on machine learning and feature engineering
This repository contains resources in the form of ebooks, which are related to Data Science, Machine Learning, and similar topics.
MLMD: a programming-free AI platform to predict and design materials
IbisML is a library for building scalable ML pipelines using Ibis.
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...
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...