Alternatives and similar repositories for Modern-Time-Series-Forecasting-with-Python-2E

Users that are interested in Modern-Time-Series-Forecasting-with-Python-2E are comparing it to the libraries listed below

• Nixtla / fpp3-python
  Forecasting: principles and practice in python
  ☆204Updated 2 years ago
• PacktPublishing / Modern-Time-Series-Forecasting-with-Python
  Modern Time Series Forecasting with Python, published by Packt
  ☆545Updated last month
• trainindata / feature-engineering-for-time-series-forecasting
  Code repository for the online course "Feature Engineering for Time Series Forecasting".
  ☆198Updated 2 years ago
• PacktPublishing / Machine-Learning-for-Time-Series-with-Python
  Machine Learning for Time-Series with Python.Published by Packt
  ☆306Updated last month
• PacktPublishing / Practical-Guide-to-Applied-Conformal-Prediction
  Practical Guide to Applied Conformal Prediction, published by Packt
  ☆195Updated 2 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 / Time-Series-Analysis-with-Python-Cookbook
  Time Series Analysis with Python Cookbook, published by Packt
  ☆289Updated last month
• PacktPublishing / Python-Feature-Engineering-Cookbook-Third-Edition
  Python Feature Engineering Cookbook, Third Edition, published by Packt
  ☆65Updated last month
• PacktPublishing / Forecasting-Time-Series-Data-with-Facebook-Prophet
  Forecasting Time-Series Data with Facebook Prophet, published by Packt
  ☆106Updated last month
• trainindata / forecasting-with-machine-learning
  Code repository for the course "Forecasting with Machine Learning Models"
  ☆28Updated 10 months ago
• PacktPublishing / Deep-Learning-for-Time-Series-Data-Cookbook
  B21145 - Deep Learning for Time Series Data Cookbook
  ☆73Updated last month
• valeman / Awesome_CatBoost
  The repository to showcase the best framework for tabular data - the Awesome CatBoost
  ☆280Updated 5 months ago
• zgana / fpp3-python-readalong
  Python-centered read-along of Forecasting: Principles and Practice
  ☆512Updated 4 months ago
• ajitsingh98 / Time-Series-Analysis-and-Forecasting-with-Python
  Time Series Analysis and Forecasting in Python
  ☆213Updated last year
• ysraell / forecasting
  Forecasting: Principles and Practice
  ☆61Updated 4 years ago
• mscharth / forecasting
  Forecasting lectures and tutorials using Python
  ☆127Updated 8 years ago
• marcopeix / TimeSeriesForecastingInPython
  ☆616Updated 2 years ago
• mikekeith52 / scalecast-examples
  Examples of the application of individual scalecast models
  ☆44Updated 2 years ago
• PacktPublishing / Hands-On-Gradient-Boosting-with-XGBoost-and-Scikit-learn
  Hands-On Gradient Boosting with XGBoost and Scikit-learn Published by Packt
  ☆220Updated last month
• Mcompetitions / M6-methods
  Data, Benchmarks, and methods submitted to the M6 forecasting competition
  ☆129Updated last year
• takechanman1228 / Effective-Uplift-Modeling
  ☆25Updated last year
• Apress / advanced-forecasting-python
  Source Code for 'Advanced Forecasting with Python' by Joos Korstanje
  ☆74Updated 4 years ago
• jrodenberg0 / Ecuador_Retail_Sales
  This repo houses the data and project: Ecuador Retail Store Sales.
  ☆14Updated last year
• andrija-djurovic / adsfcr
  Applied Data Science for Credit Risk
  ☆175Updated this week
• dataman-git / modern-time-series
  ☆55Updated 7 months ago
• FrancescaLazzeri / Machine-Learning-for-Time-Series-Forecasting
  ☆168Updated 3 years ago
• DataForScience / Timeseries
  Timeseries for everyone
  ☆263Updated 2 years ago
• MatthewK84 / Time-Series-Textbooks
  Time Series Textbooks- This repository aims to provide a host of resources that cover the gamut of time series analysis.
  ☆141Updated 7 months ago
• mikekeith52 / scalecast
  The practitioner's forecasting library
  ☆349Updated 3 weeks ago
• MatthewK84 / LinkedIn-Learning-Journey
  Matthew Kolakowski Learning Journey with Articles on Time Series Analysis, Machine Learning, Python Programming, and Systems Engineering.
  ☆29Updated 2 weeks ago