Alternatives and similar repositories for Forecasting-Time-Series-Data-with-Facebook-Prophet:

Users that are interested in Forecasting-Time-Series-Data-with-Facebook-Prophet are comparing it to the libraries listed below

• PacktPublishing / Modern-Time-Series-Forecasting-with-Python-2E
  Modern Time Series Forecasting with Python 2E, Published by Packt
  ☆109Updated 2 months ago
• Apress / advanced-forecasting-python
  Source Code for 'Advanced Forecasting with Python' by Joos Korstanje
  ☆70Updated 3 years ago
• KishManani / PyDataLondon2022
  Slides for "Feature engineering for time series forecasting" talk
  ☆58Updated 2 years ago
• trainindata / feature-engineering-for-time-series-forecasting
  Code repository for the online course "Feature Engineering for Time Series Forecasting".
  ☆182Updated last year
• mscharth / forecasting
  Forecasting lectures and tutorials using Python
  ☆124Updated 7 years ago
• marcopeix / AppliedTimeSeriesForecastingInPython
  Repository with data, starter notebooks, and solution notebooks for my course Applied Time Series Forecasting in Python
  ☆48Updated last month
• PacktPublishing / Python-Feature-Engineering-Cookbook-Second-Edition
  Python Feature Engineering Cookbook Second Edition, published by Packt
  ☆79Updated last year
• Nixtla / fpp3-python
  Forecasting: principles and practice in python
  ☆123Updated last year
• PacktPublishing / Python-Feature-Engineering-Cookbook-Third-Edition
  Python Feature Engineering Cookbook, Third Edition, published by Packt
  ☆51Updated 6 months ago
• ajitsingh98 / Time-Series-Analysis-and-Forecasting-with-Python
  Time Series Analysis and Forecasting in Python
  ☆143Updated 7 months ago
• FrancescaLazzeri / Machine-Learning-for-Time-Series-Forecasting
  ☆163Updated 3 years ago
• gkunapuli / ensemble-methods-notebooks
  A collection of companion Jupyter notebooks for Ensemble Methods for Machine Learning (Manning, 2023)
  ☆80Updated last year
• PacktPublishing / Machine-Learning-for-Time-Series-with-Python
  Machine Learning for Time-Series with Python.Published by Packt
  ☆275Updated 9 months ago
• PacktPublishing / Time-Series-Analysis-with-Python-Cookbook
  Time Series Analysis with Python Cookbook, published by Packt
  ☆268Updated last year
• fedinb / Inventory-Optimization
  Scripts inspired by book Inventory Optimization by Nicolas Vandeput.
  ☆39Updated 4 years ago
• PacktPublishing / Modern-Time-Series-Forecasting-with-Python
  Modern Time Series Forecasting with Python, published by Packt
  ☆488Updated 10 months ago
• slavakx / bayesian_mmm
  Code for the article Modeling Marketing Mix using PyMC3
  ☆26Updated 3 years ago
• raffg / prophet_forecasting
  forecasting examples using Facebook Prophet
  ☆63Updated 4 years ago
• KishManani / m5-forecasting-tutorial
  An end-to-end tutorial to forecast the M5 dataset using feature engineering pipelines and gradient boosting.
  ☆17Updated 2 years ago
• PacktPublishing / Deep-Learning-for-Time-Series-Data-Cookbook
  B21145 - Deep Learning for Time Series Data Cookbook
  ☆52Updated 8 months ago
• feature-engine / feature-engine-examples
  ☆33Updated last month
• solegalli / Python-Feature-Engineering-Cookbook-Second-Edition
  ☆12Updated 9 months ago
• solegalli / feature_engine
  Feature engineering package with sklearn like functionality
  ☆52Updated 5 months ago
• ysraell / forecasting
  Forecasting: Principles and Practice
  ☆58Updated 3 years ago
• DataForScience / Timeseries
  Timeseries for everyone
  ☆252Updated last year
• sktime / sktime-tutorial-pydata-global-2021
  Introduction to sktime at the PyData Global 2021
  ☆54Updated 2 years ago
• PacktPublishing / Time-Series-Analysis-with-Python-3.x
  Time Series Analysis with Python 3.x [Video], published by Packt
  ☆29Updated 2 years ago
• solegalli / feature-selection-for-machine-learning
  Code repository for the online course Feature Selection for Machine Learning
  ☆312Updated 4 months ago
• aruberts / tutorials
  Notebooks/scripts for youtube tutorials
  ☆62Updated 8 months ago
• danielhkt / deep-forecasting
  Perform multivariate time series forecasting using LSTM networks and DeepLIFT for interpretation
  ☆90Updated 3 years ago