Explore the concept behind AutoRegressive Integrated Moving Average (ARIMA) time series algorithm
Build, train, test and evaluate the performance of an ARIMA model
Forecast the price of Gold & Silver 30 days into the future
In this one hour long project, we will build an AutoRegressive Integrated Moving Average (ARIMA) time series machine learning model to forecast the price of Gold & Silver 30 days into the future. We will start this 1-hour long project by importing all the necessary libraries. We will then download real-time data from Yahoo Finance & visualize the historical performance of Gold & Silver through graphs using Matplotlib. We will dive in-depth into the concept of ARIMA and why it is a really efficient time series algorithm. We will then create an Arima model and forecast the price 30 days into the future. We will then train, test and evaluate the performance of the model. By the end of this project, you will be confident in analyzing, visualizing and forecasting the price of any commodity or stock of your choice using the ARIMA algorithm. Disclaimer: This project is for educational purposes only and should not be taken as a piece of financial advice. Please consult a professional financial advisor before investing.
In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:
Importing necessary libraries
Importing the dataset & exploring it
Understanding the ARIMA model
Data Preprocessing- Train-Test Split
Modelling: Creating ARIMA Model
Forecasting the price of Gold
Forecast Automation: Forecasting the price of Silver
Your workspace is a cloud desktop right in your browser, no download required
In a split-screen video, your instructor guides you step-by-step
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