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.
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.
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.
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 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.
Predicting orders for Glovo
Using time series modeling to forecast the top 3 zipcodes to invest in Washington state.
Top-Down Investment Strategy Optimization with Time Series Forecasting
This project creates Sales Volume predictions based on historical analysis of product, sales, and purchase data using SARIMAX time series model.
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.
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
Forecasting
implementation forecasting model on thailand co2 emission datasets
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.
Add a description, image, and links to the sarimax-model topic page so that developers can more easily learn about it.
To associate your repository with the sarimax-model topic, visit your repo's landing page and select "manage topics."