“Prediction is very difficult, especially about the future”. In this session, we will cover the popular ARIMA forecasting model to predict returns on a stock and demonstrate a step-by-step process of ARIMA modeling.
Structure of the Hack-Session
This is a 1-hour Hack- Session and includes the following modules:
- What makes Time Series Special?
- Loading and Handling Time Series data (Stock data) in Pandas
- How to Check Stationarity of a Time Series?
- How to make a Time Series Stationary?
- Forecasting a Stock Returns using ARIMA
Make sure you don’t miss this hack-session on Time Series forecasting using ARMA model! Get your tickets today to access this session.
INSTRUCTORS
Neeraj Singh Sarwan
Duration of Hack-Session: 1 hour