solegalli / feature-selection-in-machine-learning-book

Related projects ⓘ

Alternatives and complementary repositories for feature-selection-in-machine-learning-book

• solegalli / Python-Feature-Engineering-Cookbook-Second-Edition
  ☆11Updated 5 months ago
• PacktPublishing / The-Kaggle-Workbook
  Code Repository for The Kaggle Workbook, Published by Packt
  ☆113Updated last year
• solegalli / hyperparameter-optimization
  Code repository for the online course Hyperparameter Optimization for Machine Learning
  ☆111Updated last month
• PacktPublishing / Data-Cleaning-and-Exploration-with-Machine-Learning
  Data Cleaning and Exploration with Machine Learning
  ☆52Updated last year
• gkunapuli / ensemble-methods-notebooks
  A collection of companion Jupyter notebooks for Ensemble Methods for Machine Learning (Manning, 2023)
  ☆70Updated last year
• solegalli / feature-selection-with-feature-engine-book
  Code repository for the book Feature engineering with Feature-engine
  ☆13Updated 6 months ago
• solegalli / machine-learning-imbalanced-data
  Code repository for the online course Machine Learning with Imbalanced Data
  ☆161Updated 2 months ago
• PacktPublishing / Machine-Learning-for-Streaming-Data-with-Python
  Machine Learning for Streaming Data with Python, published by Packt
  ☆68Updated last year
• solegalli / machine-learning-interpretability
  ☆21Updated 3 weeks ago
• solegalli / feature_engine
  Feature engineering package with sklearn like functionality
  ☆50Updated 2 months ago
• KishManani / m5-forecasting-tutorial
  An end-to-end tutorial to forecast the M5 dataset using feature engineering pipelines and gradient boosting.
  ☆14Updated last year
• trainindata / forecasting-with-machine-learning
  Code repository for the course "Forecasting with Machine Learning Models"
  ☆16Updated 5 months ago
• ysraell / forecasting
  Forecasting: Principles and Practice
  ☆30Updated 3 years ago
• solegalli / deploying-machine-learning-models
  Example Repo for the Udemy Course "Deployment of Machine Learning Models"
  ☆20Updated 4 years ago
• ElizaLo / Time-Series
  Awesome list and projects of Time Series
  ☆25Updated last year
• PacktPublishing / Modern-Time-Series-Forecasting-with-Python-2E
  Modern Time Series Forecasting with Python 2E, Published by Packt
  ☆47Updated last week
• dr-mushtaq / Machine-Learning
  This repository is a related to all about Machine Learning - an A-Z guide to the world of Data Science. This supplement contains the impl…
  ☆34Updated this week
• PacktPublishing / Interpretable-Machine-Learning-with-Python-2E
  Interpretable ML with Python, 2E - published by Packt
  ☆83Updated 7 months ago
• KishManani / PyDataLondon2022
  Slides for "Feature engineering for time series forecasting" talk
  ☆57Updated last year
• ml-for-high-risk-apps-book / Machine-Learning-for-High-Risk-Applications-Book
  Official code repo for the O'Reilly Book - Machine Learning for High-Risk Applications
  ☆96Updated last year
• PacktPublishing / Comet-for-Data-Science
  Comet for Data Science, published by Packt
  ☆42Updated last year
• PacktPublishing / Hands-On-Gradient-Boosting-with-XGBoost-and-Scikit-learn
  Hands-On Gradient Boosting with XGBoost and Scikit-learn Published by Packt
  ☆187Updated last year
• PacktPublishing / Python-Feature-Engineering-Cookbook-Second-Edition
  Python Feature Engineering Cookbook Second Edition, published by Packt
  ☆77Updated last year
• atreadw1492 / software_engineering_for_data_scientists
  ☆10Updated last year
• PacktPublishing / Applied-Machine-Learning-Explainability-Techniques
  Applied Machine Learning Explainability Techniques, published by Packt
  ☆237Updated last year
• solegalli / Python-Feature-Engineering-Cookbook-First-Edition
  ☆30Updated 5 months ago
• marcopeix / AppliedTimeSeriesAnalysisWithPython
  ☆34Updated 3 years ago
• VincentGranville / Point-Processes
  This repository contains the material (datasets, code, videos, spreadsheets) related to my book Stochastic Processes and Simulations - A …
  ☆42Updated 2 years ago
• atif-hassan / FRUFS
  An unsupervised feature selection technique using supervised algorithms such as XGBoost
  ☆88Updated 10 months ago