Alternatives and similar repositories for m5-forecasting-tutorial:

Users that are interested in m5-forecasting-tutorial are comparing it to the libraries listed below

• KishManani / PyDataLondon2022
  Slides for "Feature engineering for time series forecasting" talk
  ☆58Updated 2 years ago
• jrodenberg0 / vn1_fcst
  This repo houses my VN1 Forecasting Notebook for Phase One.
  ☆16Updated 4 months ago
• solegalli / feature-selection-with-feature-engine-book
  Code repository for the book Feature engineering with Feature-engine
  ☆14Updated 10 months ago
• PacktPublishing / Forecasting-Time-Series-Data-with-Facebook-Prophet
  Forecasting Time-Series Data with Facebook Prophet, published by Packt
  ☆103Updated 2 years ago
• khuyentran1401 / detect-data-drift-pipeline
  A pipeline to detect data drift and retrain the model when there is drift
  ☆23Updated last year
• solegalli / Python-Feature-Engineering-Cookbook-First-Edition
  ☆31Updated 9 months ago
• takechanman1228 / Effective-CLV-Modeling
  ☆20Updated last year
• solegalli / Python-Feature-Engineering-Cookbook-Second-Edition
  ☆12Updated 9 months ago
• dataman-git / Handbook-of-anomaly-detection
  ☆15Updated 5 months ago
• solegalli / feature_engine
  Feature engineering package with sklearn like functionality
  ☆52Updated 6 months ago
• Brett-Kennedy / CountsOutlierDetector
  Interpretable, intuitive outlier detector intended for categorical and numeric data.
  ☆9Updated 8 months ago
• feature-engine / feature-engine-examples
  ☆33Updated last month
• 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
  ☆102Updated last year
• PacktPublishing / Python-Feature-Engineering-Cookbook-Third-Edition
  Python Feature Engineering Cookbook, Third Edition, published by Packt
  ☆51Updated 6 months ago
• kvnkho / pydata-timeseries-forecasting
  Material for PyData NYC Tutorial on Large Scale Timeseries Forecasting
  ☆26Updated 2 years ago
• solegalli / machine-learning-interpretability
  Code repository for the online course Machine Learning Interpretability
  ☆24Updated 5 months ago
• data-max-hq / ab-testing-in-ml
  Deploy A/B testing infrastructure in a containerized microservice architecture for Machine Learning applications.
  ☆40Updated 2 months ago
• sktime / sktime-tutorial-pydata-global-2022
  sktime - python toolbox for time series: pipelines and transformers
  ☆24Updated 2 years ago
• AutoViML / lazytransform
  Automatically transform all categorical, date-time, NLP variables to numeric in a single line of code for any data set any size.
  ☆64Updated last month
• BartoszSzablowski / Sell_Out_Sell_In_Forecasting
  Sell Out Sell In Forecasting project implemented at Nestlé
  ☆23Updated 2 years ago
• microprediction / timeseries-notebooks
  Hello world univariate examples for a variety of time series packages.
  ☆56Updated 5 months ago
• ysraell / forecasting
  Forecasting: Principles and Practice
  ☆59Updated 3 years ago
• RCdeWit / dtc-workshop
  Example project with a CNN to train a Pokémon type classifier, adapted for DTC workshop
  ☆33Updated last year
• raz1470 / causal_ai
  This project introduces Causal AI and how it can drive business value.
  ☆45Updated 6 months ago
• zachrenwick / streamlit_forecasting_app
  This MVP data web app uses the Streamlit framework and Facebook's Prophet forecasting package to generate a dynamic forecast from your ow…
  ☆66Updated last year
• atreadw1492 / software_engineering_for_data_scientists
  ☆11Updated last year
• slavakx / bayesian_mmm
  Code for the article Modeling Marketing Mix using PyMC3
  ☆26Updated 3 years ago
• MaartenGr / CustomerSegmentation
  Analysis for Customer Segmentation
  ☆69Updated 4 years ago
• khuyentran1401 / customer_segmentation
  An end-to-end project on customer segmentation
  ☆81Updated 2 years ago
• gedeck / dmba
  Utility functions for "Data Mining for Business Analytics: Concepts, Techniques, and Applications in Python"
  ☆72Updated 11 months ago