Fast AST based code differencing in Python

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

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

Painting a Canvas with IPv6 Addresses

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

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

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Hourly Energy Consumption Forecasting

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.

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

Прогнозирование спроса на такси

Time Series Analysis of CA Temperature Data.

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

Forecasting_Airline_Passengers_Seats

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.