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GitHub topics: differencing

razamehar/Weather-Time-Series-Analysis-using-Statistical-Methods-and-Deep-Learning-Models

This project conducts a thorough analysis of weather time series data using diverse statistical and deep learning models. Each model was rigorously applied to the same weather time series data to assess and compare their forecasting accuracy. Detailed results and analyses are provided to delineate the strengths and weaknesses of each approach.

Language: Jupyter Notebook - Size: 4.22 MB - Last synced at: 1 day ago - Pushed at: 10 months ago - Stars: 1 - Forks: 0

Tez1s/airplane-passenger-forecast

Airplane passenger forecast using SARIMA Model Acc: (96.63%)

Language: Jupyter Notebook - Size: 259 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

VariantSync/DiffDetective

Library for Variability-Aware Differencing and the Analysis of Edits to Preprocessor-Based Software Product Lines

Language: Java - Size: 58.5 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 9 - Forks: 5

Xevion/v6-place

Painting a Canvas with IPv6 Addresses

Language: Python - Size: 36.1 KB - Last synced at: 2 months ago - Pushed at: about 2 years ago - Stars: 3 - Forks: 0

sushant1827/ARIMA-for-Industrial-Production

Explains how to use ARIMA model to forecast future production units, enabling informed decision-making and planning in the electric and gas utilities sector.

Language: Jupyter Notebook - Size: 383 KB - Last synced at: 2 months ago - Pushed at: 5 months ago - Stars: 3 - Forks: 0

cedricrupb/code_diff

Fast AST based code differencing in Python

Language: Python - Size: 79.1 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 26 - Forks: 6

mojtaba-eshghie/SoliDiffy

SoliDiffy: AST-Based Code Differencing Tool for Solidity Smart Contracts

Language: Jupyter Notebook - Size: 16.6 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 3 - Forks: 1

Veekits/ARIMA-model-for-Time-Series

This is an ARIMA model used for prediction of sales for a particular item.

Language: Jupyter Notebook - Size: 3.33 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

Xcential-Corporation/Compare

XML comparison based on Google's diff-match-patch and optimized for legislation

Language: HTML - Size: 2.16 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 4 - Forks: 1

manasik29/Forecasting_Energy_Consumption_Project

Hourly Energy Consumption Forecasting

Language: Jupyter Notebook - Size: 20.5 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

schatzederwelt/taxi-demand-prediction

Прогнозирование спроса на такси

Language: Jupyter Notebook - Size: 1.01 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

manasik29/Forecasting-Perrin-Freres-Monthly-Champagne-Sales

Predicting Monthly Sales of Perrin Freres Champagne by ARIMA & SARIMAX model.

Language: Jupyter Notebook - Size: 250 KB - Last synced at: over 1 year ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 1

manasik29/Assignment_Forecasting_Airline_Passengers_Seats

Forecasting_Airline_Passengers_Seats

Language: Jupyter Notebook - Size: 2.03 MB - Last synced at: over 1 year ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

nikashn/Time-Series-Final-Project

Time Series Analysis of CA Temperature Data.

Size: 566 KB - Last synced at: over 1 year ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

anshulsingh8101/Forecasting_Sales_For_Future

Applying the ADfuller test on the Perrin-Freres-monthly-champagne dataset to check whether my data is stationary or not and eventually applying differencing method and creating 23 months extra date, to use it for the Sarimax model to predict sales for the next 23 months on the p,d, q values respectively.

Language: Jupyter Notebook - Size: 571 KB - Last synced at: over 2 years ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0