Ecosyste.ms: Repos

An open API service providing repository metadata for many open source software ecosystems.

GitHub topics: sarimax-model

Repositories

SSGrasland/Zillow-Time-Series

Using time series modeling to forecast the top 3 zipcodes to invest in Washington state.

Language: Jupyter Notebook - Size: 29.2 MB - Last synced: 9 days ago - Pushed: about 1 year ago - Stars: 1 - Forks: 0

ekanshojha/Time-Series-Analysis

Time Series Analysis of Airline Passenger Data, In this time series forecasting, taking data from kaggle site and applying ARIMA and SARIMAX model to evaluate seasional trends of passenger travelling via airlines.

Language: Python - Size: 52.7 KB - Last synced: 26 days ago - Pushed: 27 days ago - Stars: 1 - Forks: 0

adharshvenkat/sales-forecasting

This project aims to develop a model using ARIMA & Seasonal ARIMA to forecast future sales

Size: 2.93 KB - Last synced: 29 days ago - Pushed: 29 days ago - Stars: 0 - Forks: 0

28101991SUNNY/BusinessCase_Data_Exploration-

Case Studies and Projects in Machine Learning/EDA/DL

Language: Jupyter Notebook - Size: 130 MB - Last synced: about 1 month ago - Pushed: about 1 month ago - Stars: 17 - Forks: 14

jahnvisikligar/Masters-Thesis

Improved the accuracy of Bitcoin stock price predictions on ARIMA model by reducing the seasonality factor. Achieved RMSE value of 68.99 after implementation of SARIMAX model to reduce seasonality.

Language: Jupyter Notebook - Size: 1.32 MB - Last synced: about 1 month ago - Pushed: about 1 month ago - Stars: 0 - Forks: 0

Circhastic/sales-forecasting-system-st

Language: Python - Size: 43 KB - Last synced: about 2 months ago - Pushed: 6 months ago - Stars: 0 - Forks: 0

RamaGovinda2928/Forecasting

Forecasting

Language: Jupyter Notebook - Size: 5.1 MB - Last synced: about 2 months ago - Pushed: about 2 months ago - Stars: 0 - Forks: 0

rohan-deswal/covid-19-time-series-forecasting

This project analyzes daily Covid-19 data for Indian states using SARIMAX models. It preprocesses data, checks stationarity, applies differencing, analyzes autocorrelation, selects SARIMAX parameters, conducts diagnostics, and forecasts cases. Dynamic forecasting's impact is limited.

Language: Jupyter Notebook - Size: 2.83 MB - Last synced: 2 months ago - Pushed: 2 months ago - Stars: 0 - Forks: 0

RJ-NPN/TimeSeriesAnalysis

Time series analysis using AR, ARIMA, SARIMAX on monthly Beer production by Austrian company.

Language: Jupyter Notebook - Size: 1.06 MB - Last synced: 2 months ago - Pushed: 2 months ago - Stars: 0 - Forks: 0

ajitsingh98/Inventory-Management-Demand-Using-Time-Series-Analysis-and-Forecasting

Keeping Inventory of spare in various service centre to the market demand is always a challenge as most service centres spends significant amount in spare parts inventory costs. In spite of this, availability of spare parts is been one of the problem areas.

Language: Jupyter Notebook - Size: 700 KB - Last synced: 3 months ago - Pushed: 3 months ago - Stars: 4 - Forks: 0

raghavendranhp/Forecasting-Car-Sales-Trends

Elevating Times Series Forecasting of Cars, Truck Sales in UK for precise and competitive forecasting in diverse industries.

Size: 85.9 KB - Last synced: 5 months ago - Pushed: 5 months ago - Stars: 0 - Forks: 0

gtrunz/car_accident_forecasting

This analysis seeks to forecast the daily number of car accidents in the county of Denver, Colorado using both traditional time series methods from the statsmodels library, as well as the Prophet forecasting framework as implemented in the prophet library.

Language: Jupyter Notebook - Size: 2.64 MB - Last synced: 6 months ago - Pushed: 6 months ago - Stars: 0 - Forks: 0

YigitTurali/Shell_App

Shell_App is an integrated data analysis and modeling platform, featuring scripts for EDA, ensemble techniques, LightGBM, and SARIMAX modeling. Designed for comprehensive data processing, the repository also includes deployment capabilities via Streamlit for interactive model interactions.

Language: Jupyter Notebook - Size: 529 KB - Last synced: 4 months ago - Pushed: 8 months ago - Stars: 1 - Forks: 0

abhinavprasoon141/uk_inflation_prediction

The Project uses a Kaggle Dataset that utilises information of UK's historical inflation rise and predict the inflation rate using SARIMA modelling.

Language: Jupyter Notebook - Size: 183 KB - Last synced: 8 months ago - Pushed: 8 months ago - Stars: 0 - Forks: 0

ManuSinghYadav/Walmart-Sales-Forecast

Time series analysis and forecasting project based on Walmart Sales Data.

Language: Jupyter Notebook - Size: 3.54 MB - Last synced: 8 months ago - Pushed: 8 months ago - Stars: 0 - Forks: 0

sugbk18/Sectoral-Analysis-for-Indian-Economy

Top-Down Investment Strategy Optimization with Time Series Forecasting

Language: Jupyter Notebook - Size: 3.16 MB - Last synced: 10 months ago - Pushed: 10 months ago - Stars: 1 - Forks: 0

Suditi1101/Stock-Exchange-Data-Modelling

Language: Jupyter Notebook - Size: 1000 KB - Last synced: 10 months ago - Pushed: 10 months ago - Stars: 1 - Forks: 0

Sandy0002/Time-Series-Analysis

Demonstration of time series analysis using various concepts and models.

Language: Python - Size: 169 KB - Last synced: 11 months ago - Pushed: 11 months ago - Stars: 0 - Forks: 0

bala-1409/Milk-Production-Time-Series-Forecasting-Datascience-Project

This project uses time series forecasting to predict future milk production. The data used in this project is monthly milk production data from January 1962 to December 1975. The ARIMA (autoregressive integrated moving average) model is used to forecast the milk production. The model is evaluated using various metric.

Language: Jupyter Notebook - Size: 6.28 MB - Last synced: 4 months ago - Pushed: 11 months ago - Stars: 0 - Forks: 0