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Case Studies and Projects in Machine Learning/EDA/DL
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.
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.
In this section, we will estimate airline passengers using time series methods.
In this section, we will examine the Statistical Methods in time series analysis.
Development of An Automated Conflict Prediction System by State Space ARIMA Methods
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.
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.
Predicting orders for Glovo
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.
Using time series modeling to forecast the top 3 zipcodes to invest in Washington state.
Top-Down Investment Strategy Optimization with Time Series Forecasting
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.
Time series analysis and forecasting project based on Walmart Sales Data.
Forecasting
Demonstration of time series analysis using various concepts and models.
The Project uses a Kaggle Dataset that utilises information of UK's historical inflation rise and predict the inflation rate using SARIMA modelling.
This project aims to develop a model using ARIMA & Seasonal ARIMA to forecast future sales
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.
Software Implementation of a Tourist Flow Model
Elevating Times Series Forecasting of Cars, Truck Sales in UK for precise and competitive forecasting in diverse industries.
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
Time series analysis using AR, ARIMA, SARIMAX on monthly Beer production by Austrian company.
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.
This project creates Sales Volume predictions based on historical analysis of product, sales, and purchase data using SARIMAX time series model.
implementation forecasting model on thailand co2 emission datasets