Alternatives and similar repositories for forecasting

Users that are interested in forecasting are comparing it to the libraries listed below

• mscharth / forecasting
  Forecasting lectures and tutorials using Python
  ☆125Updated 7 years ago
• mattharrison / effective_xgboost_book
  ☆285Updated 2 years ago
• Nixtla / fpp3-python
  Forecasting: principles and practice in python
  ☆159Updated 2 years ago
• PacktPublishing / Modern-Time-Series-Forecasting-with-Python-2E
  Modern Time Series Forecasting with Python 2E, Published by Packt
  ☆145Updated last week
• Carl-McBride-Ellis / TOBoML
  The Orange Book of Machine Learning
  ☆45Updated 3 months ago
• mpalenciaolivar / Awesome-Decision-Science
  Une liste de ressources sur tout ce qui touche à la prise de décision : vidéos, tutoriels, livres, documents, thèses, articles, datasets …
  ☆1Updated 10 months ago
• valeman / Awesome_CatBoost
  The repository to showcase the best framework for tabular data - the Awesome CatBoost
  ☆242Updated 2 weeks ago
• PacktPublishing / Python-Feature-Engineering-Cookbook-Third-Edition
  Python Feature Engineering Cookbook, Third Edition, published by Packt
  ☆56Updated 2 months ago
• donlapark / coverforest
  A simple and fast sklearn-compatible conformal predictions with random forests for both classification and regression tasks.
  ☆44Updated 2 months ago
• KishManani / PyDataLondon2022
  Slides for "Feature engineering for time series forecasting" talk
  ☆61Updated 2 years ago
• PacktPublishing / Practical-Guide-to-Applied-Conformal-Prediction
  Practical Guide to Applied Conformal Prediction, published by Packt
  ☆181Updated 2 months ago
• raz1470 / causal_ai
  This project introduces Causal AI and how it can drive business value.
  ☆48Updated 10 months ago
• RamiKrispin / ai-dev-2024-ml-workshop
  Materials for the AI Dev 2024 conference workshop "Deploy and Monitor ML Pipelines with Python, Open Source, and Free Applications"
  ☆94Updated this week
• gedeck / mistat-code-solutions
  Code repository for "Modern Statistics: A Computer Based Approach with Python" and "Industrial Statistics: A Computer Based Approach with…
  ☆105Updated last month
• tblume1992 / MFLES
  ☆115Updated last year
• valeman / Mastering-Modern-Time-Series-Forecasting-The-Complete-Guide
  The repo for Mastering Modern Time Series Forecasting : The Complete Guide to Statistical, Machine Learning & Deep Learning Models in Pyt…
  ☆35Updated 3 weeks ago
• supplyseer-ai / supplyseer
  Python library for Applied Computational Supply Chain & Logistics. Unlock Neural Nets, Bayesian EOQ, Optimization, Time Series, and more …
  ☆99Updated 2 months ago
• RamiKrispin / pydata-ny-ga-workshop
  Materials for the Deploy and Monitor ML Pipelines with Python, Docker and GitHub Actions workshop at the PyData NYC 2024 conference
  ☆81Updated this week
• PacktPublishing / Machine-Learning-for-Time-Series-with-Python
  Machine Learning for Time-Series with Python.Published by Packt
  ☆291Updated 2 months ago
• PacktPublishing / Deep-Learning-for-Time-Series-Data-Cookbook
  B21145 - Deep Learning for Time Series Data Cookbook
  ☆62Updated 2 months ago
• joaopcnogueira / ts2ml
  Tools to Transform a Time Series into Features and Target a.k.a Supervised Learning
  ☆98Updated 2 years ago
• lmassaron / Machine-Learning-on-Tabular-Data
  Code for the new Manning book on machine learning on tabular datasets
  ☆43Updated 5 months ago
• modeva-ai / Modeva
  Integrated tool for model development and validation
  ☆31Updated last week
• mattharrison / sample_nb_code_project
  An example of a project for doing data work in Python using notebooks but also placing code in Python files and testing them
  ☆99Updated last year
• gusbruschi13 / Conformal-Prediction
  Repositório contendo materiais de estudo sobre Predição Conforme.
  ☆29Updated last year
• MatthewK84 / LinkedIn-Learning-Journey
  Matthew Kolakowski Learning Journey with Articles on Time Series Analysis, Machine Learning, Python Programming, and Systems Engineering.
  ☆29Updated 3 weeks ago
• KishManani / m5-forecasting-tutorial
  An end-to-end tutorial to forecast the M5 dataset using feature engineering pipelines and gradient boosting.
  ☆19Updated 2 years ago
• Carl-McBride-Ellis / Compendium-of-free-ML-reading-resources
  Compendium of free ML reading resources
  ☆364Updated 2 weeks ago
• 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
  ☆103Updated 2 years ago
• trainindata / feature-engineering-for-time-series-forecasting
  Code repository for the online course "Feature Engineering for Time Series Forecasting".
  ☆186Updated last year