Hands-On: Multivariate Analysis and MLP for Price Forecasting — Pt. I
In tutorial, we will explore a robust Multivariate Analysis approach, aiming to predict crude oil prices over time. To achieve this, we will consider not only the historical data of crude oil but also the behavior of other commodities and climatic variables, such as relative humidity, which has shown a declining trend in recent years, reflecting the impact of global warming. We will work with various Artificial Intelligence techniques, using a dataset that incorporates several variables with temporal behavior.
Data Preprocessing, Initial Modeling with MLP, and Performance Assessment.
Overview
In this project, we will explore a robust Multivariate Analysis approach, aiming to predict crude oil prices over time.
To achieve this, we will consider not only the historical data of crude oil but also the behavior of other commodities and climatic variables, such as relative humidity, which has shown a declining trend in recent years, reflecting the impact of global warming.
