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

In this section, we will estimate airline passengers using time series methods.

implementation forecasting model on thailand co2 emission datasets

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.

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

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

This project creates Sales Volume predictions based on historical analysis of product, sales, and purchase data using SARIMAX time series model.

Software Implementation of a Tourist Flow Model

Predicting orders for Glovo

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.

Demonstration of time series analysis using various concepts and models.

Top-Down Investment Strategy Optimization with Time Series Forecasting

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

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

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.

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.

Sales forecasting system prototype w/ dashboard using SARIMAX model

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

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.