Rindhujatreesa/foreign-exchange-rate-time-series-forecasting

This repository is a guide to using various time-series analysis models like ARIMA, SARIMA, and SARIMAX in forecasting the exchange rates of 5 currencies as compared to US Dollars

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pintamonas4575/SERTEMP-project-MAADM-UPM

AI models applied to temporal series. Subject from UPM´s master degree in Machine Learning and Big Data

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Shailesh-Padhariya/Airline-Passengers-Time-Series

This project explores multiple time series forecasting techniques, including Facebook Prophet, ARIMA, and SARIMAX, to predict airline passenger trends. It compares the effectiveness of each model in capturing seasonality and long-term patterns

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R-Mahesh45/Gold-Price-Prediction-Using-Machine-Learning

This project uses Random Forest and ARIMA models to predict daily gold prices with 97% accuracy. By cleaning and analyzing historical data (2016–2021), we created a model that provides actionable insights. Deployed with Streamlit, it offers real-time forecasting for investors and traders to stay ahead of the market.

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Niteshchawla/Online-Marketing-Time-Series-Case-Study

An ads and marketing based company helping businesses elicit maximum clicks @ minimum cost.

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taleblou/SARIMAX-Price-Prediction

This repository implements an SARIMAX model for predicting financial instrument prices (stocks, currencies, cryptocurrencies). The model uses gradient boosting to capture complex price patterns and handle diverse dataset characteristics for accurate price forecasting.

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Nitin-Sagar-B/flowscope

Enhancing Decision Making and Prediction Optimization using the HybridFlow Forecast Model

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leogachimu/Zimbabwe_Wildfire_Prediction_Challenge

This was a competition hosted by Zindi, about predicting the percent of areas burned by wildfires in Zimbabwe. This project emerged the winner.

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venkat-a/Stocks-Price-Analysis-and-Recommendation

Analyzing and predicting the stock prices,multiple machine learning models, including LSTM (Long Short-Term Memory), Prophet, and others

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Ansuman21/Start-up-Funding-Forecast-HPTV-

This project aims to analyze and forecast the total funding amounts of startups using various regression and time series modeling techniques. Initially, we preprocess the dataset, which includes features such as funding amounts, company size, and number of funding rounds. The data is then scaled and split into training and testing sets.

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im-dpaul/Beer-Production-Analysis-and-Prediction

This project delves into the world of craft beer, analyzing and forecasting monthly beer production trends. It utilizes various time series analysis techniques to uncover patterns and predict future production levels.

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Suditi1101/Stock-Exchange-Data-Modelling

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28101991SUNNY/BusinessCase_Data_Exploration-

Case Studies and Projects in Machine Learning/EDA/DL

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SSGrasland/Zillow-Time-Series

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

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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.

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adharshvenkat/sales-forecasting

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

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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.

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Circhastic/sales-forecasting-system-st

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RamaGovinda2928/Forecasting

Forecasting

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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.

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RJ-NPN/TimeSeriesAnalysis

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

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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.

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raghavendranhp/Forecasting-Car-Sales-Trends

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

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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.

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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.

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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.

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ManuSinghYadav/Walmart-Sales-Forecast

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

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sugbk18/Sectoral-Analysis-for-Indian-Economy

Top-Down Investment Strategy Optimization with Time Series Forecasting

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Sandy0002/Time-Series-Analysis

Demonstration of time series analysis using various concepts and models.

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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.

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iTteruya/TouristFLowModel

Software Implementation of a Tourist Flow Model

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ShubhamMore4/Project-Stock_Price_Prediction

Predict the apple stock market price for next 30 days. There are Open, High, Low and Close price has been given for each day starting from 2012 to 2019 for Apple stock.

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tohid-yousefi/Statistical_Methods_in_Time_Series_ARIMA_SARIMA

In this section, we will examine the Statistical Methods in time series analysis.

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juliorodrigues07/datachallenge

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RajKulk16/Future-Forecasting-TimeSeries

ARIMA, SARIMA, AUTO-ARIMA

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adrian-io/sarimax-conflict-forecast

Development of An Automated Conflict Prediction System by State Space ARIMA Methods

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