Alternatives and similar repositories for feature-selection

Users that are interested in feature-selection are comparing it to the libraries listed below

• dwavesystems / dwave-scikit-learn-plugin
  A plugin to scikit-learn for quantum-classical hybrid solving
  ☆16Updated 3 weeks ago
• PacktPublishing / Financial-Modeling-using-Quantum-Computing
  Financial Modeling using Quantum Computing, Published by Packt
  ☆31Updated 2 months ago
• KishManani / m5-forecasting-tutorial
  An end-to-end tutorial to forecast the M5 dataset using feature engineering pipelines and gradient boosting.
  ☆20Updated 3 years ago
• VincentGranville / Statistical-Optimization
  Statistical optimization for AI and machine learning
  ☆61Updated last year
• grahamharrison68 / Public-Github
  Repository for GH public projects
  ☆18Updated last year
• MLDreamer / Linkedin-posts
  ☆25Updated 3 weeks ago
• VincentGranville / Stochastic-Processes
  My book: Gentle Introduction to Chaotic Dynamical Systems. Includes stochastic dynamical systems and statistical properties of numeratio…
  ☆46Updated last year
• VincentGranville / Main
  Main folder. Material related to my books on synthetic data and generative AI. Also contains documents blending components from several f…
  ☆100Updated last year
• PacktPublishing / A-Practical-Guide-to-Quantum-Machine-Learning-and-Quantum-Optimization
  A Practical Guide to Quantum Machine Learning and Quantum Optimization, published by Packt
  ☆111Updated 2 years ago
• Apress / quantum-machine-learning-python
  Source Code for 'Quantum Machine Learning with Python' by Santanu Pattanayak
  ☆52Updated 4 years ago
• PacktPublishing / Dancing-with-Qubits-2E
  Code Repository for Dancing-with-Qubits-2E, Published by Packt
  ☆18Updated last year
• Apress / quantum-machine-learning
  Source Code for 'Quantum Machine Learning' by Santanu Ganguly
  ☆22Updated 4 years ago
• marcopeix / TimeSeriesForecastingUsingFoundationModels
  Official repository for the book Time Series Forecasting with Foundation Models
  ☆49Updated last month
• FlorinAndrei / misc
  a catch-all repo
  ☆11Updated 2 years ago
• sktime / sktime-tutorial-pydata-global-2022
  sktime - python toolbox for time series: pipelines and transformers
  ☆25Updated 3 years ago
• Marcussena / ML-and-Ai-from-scratch
  Python implementation of machine learning and Ai algorithms from scratch
  ☆10Updated 11 months ago
• pycaret / examples
  Example Notebooks contributed by pycaret community!
  ☆45Updated 2 years ago
• PacktPublishing / Learning-Quantum-Computing-with-Python-and-IBM-Quantum-Second-Edition
  Learning Quantum Computing with Python and IBM Quantum, Second Edition, Published by Packt
  ☆39Updated 11 months ago
• marcopeix / AppliedTimeSeriesForecastingInPython
  Repository with data, starter notebooks, and solution notebooks for my course Applied Time Series Forecasting in Python
  ☆66Updated 6 months ago
• PacktPublishing / Modern-Graph-Theory-Algorithms-with-Python
  Modern Graph Theory Algorithms with Python, published by Packt
  ☆38Updated last month
• PacktPublishing / Hands-On-Simulation-Modeling-with-Python-Second-Edition
  Hands-On Simulation Modeling with Python, Second Edition, published by Packt
  ☆34Updated last month
• PacktPublishing / XGBoost-for-Regression-Predictive-Modeling-and-Time-Series-Analysis
  XGBoost for Regression Predictive Modeling and Time Series Analysis, published by Packt
  ☆42Updated last month
• TNanukem / paper_implementations
  This repository holds my paper implementations made for my studies and my content production
  ☆38Updated last year
• PacktPublishing / Machine-Learning-for-Streaming-Data-with-Python
  Machine Learning for Streaming Data with Python, published by Packt
  ☆73Updated last month
• PacktPublishing / Deep-Learning-for-Time-Series-Data-Cookbook
  B21145 - Deep Learning for Time Series Data Cookbook
  ☆73Updated last month
• maximer-v / quantum-machine-learning
  This is an exploration using synthetic data in CSV format to apply QML models for the sake of binary classification. You can find here th…
  ☆22Updated 2 years ago
• dwave-examples / qboost
  Solve a binary classification problem with Qboost
  ☆29Updated 2 years ago
• PacktPublishing / The-Regularization-Cookbook
  The Regularization Cookbook, published by Packt
  ☆15Updated this week
• Bodhi8 / pycausalsim
  PyCausalSim is a Python framework for discovering and validating causal relationships through simulation. Unlike traditional analytics th…
  ☆32Updated last month
• MariaZork / my-machine-learning-tutorials
  Jupyter notebook tutorials for various machine learning applications
  ☆10Updated 3 years ago