Statistics for topic feature-engineering
RepositoryStats tracks 595,858 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
Most starred repositories for topic feature-engineering (view more)
Trending repositories for topic feature-engineering (view more)
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
Pixeltable — AI Data infrastructure providing 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.
Pixeltable — AI Data infrastructure providing 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.
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 intuitive library to extract features from time series.
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 Guide for Feature Engineering and Feature Selection, with implementations and examples in Python.
This repository contains resources in the form of ebooks, which are related to Data Science, Machine Learning, and similar topics.
Pixeltable — AI Data infrastructure providing a declarative, incremental approach for multimodal workloads.
A New, Interactive Approach to Learning Data Science
Fast, high-quality forecasts on relational and multivariate time-series data powered by new feature learning algorithms and automated ML.
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 based on Genetic Programming
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
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.
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...
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
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...