Statistics for topic feature-engineering
RepositoryStats tracks 605,968 Github repositories, of these 114 are tagged with the feature-engineering topic. The most common primary language for repositories using this topic is Python (54). Other languages include: Jupyter Notebook (39)
Stargazers over time for topic feature-engineering
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Deep Learning and Machine Learning stocks represent promising opportunities for both long-term and short-term investors and traders.
Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.
Intelligent Trading Bot: Automatically generating signals and trading based on machine learning and feature engineering
Code repository for the online course Feature Engineering for Machine Learning
Pixeltable — AI Data infrastructure providing a declarative, incremental approach for multimodal workloads.
To provide the stego community with C/C++ implementations of selected feature extractors mainly targeted at H.264 steganography.
Deep Learning and Machine Learning stocks represent promising opportunities for both long-term and short-term investors and traders.
Intelligent Trading Bot: Automatically generating signals and trading based on machine learning and feature engineering
Code repository for the online course Feature Engineering for Machine Learning
Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.
Intelligent Trading Bot: Automatically generating signals and trading based on machine learning and feature engineering
Deep Learning and Machine Learning stocks represent promising opportunities for both long-term and short-term investors and traders.
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!
Pixeltable — AI Data infrastructure providing a declarative, incremental approach for multimodal workloads.
Python package implementing transformers for pre processing steps for machine learning.
To provide the stego community with C/C++ implementations of selected feature extractors mainly targeted at H.264 steganography.
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.
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!
Feature Engineering and Feature Importance in Machine Learning for Financial Markets
This repository contains resources in the form of ebooks, which are related to Data Science, Machine Learning, and similar topics.
Feature Engineering and Feature Importance in Machine Learning for Financial Markets
Pixeltable — AI Data infrastructure providing a declarative, incremental approach for multimodal workloads.
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.
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.
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...