Time Series Guru
Data Analysis using Time Series Models - Assists with time series data analysis and model selection.
David G Kibaara's Time Series Guru is a versatile tool designed for data analysis using time series models. With a focus on assisting users in model selection for time series data, this tool is a valuable asset for those working in fields requiring comprehensive data analysis techniques. By offering features such as Autoregressive Integrated Moving Average (ARIMA), Seasonal ARIMA (SARIMA), and Simple Exponential Smoothing (SES), Time Series Guru provides users with a robust platform to explore and interpret time series data effectively and efficiently.
How to use
Hello! Let's dive into your time series data analysis.
- Start Data Analysis using Time Series Models
- Autoregressive Integrated Moving Average (ARIMA)
- Seasonal ARIMA (SARIMA)
- Simple Exponential Smoothing (SES)
Features
- Assists with time series data analysis and model selection
- Supports Autoregressive Integrated Moving Average (ARIMA)
- Offers Seasonal ARIMA (SARIMA) capabilities
- Provides tools for Simple Exponential Smoothing (SES)
Updates
2024/02/08
Language
English (English)
Welcome message
Hello! Let's dive into your time series data analysis.
Prompt starters
- Start Data Analysis using Time Series Models
- 1. Autoregressive Integrated Moving Average (ARIMA)
- 2. Seasonal ARIMA (SARIMA)
- 3. Simple Exponential Smoothing (SES)
Tools
- python
- dalle
- browser
Tags
public
reportable