Type of project: Machine Learning Project

Application: Nature

Data source: 2 CSV files

Nature of the data: time series

Nature of this machine learning project: Regression

Implemented models: 1. AutoRegressive Integrated Moving Average (ARIMA); 2. Linear Regression

Model validation: K-Fold

Metrics used: Mean Squared Error (MSE) and Negative Root Mean Squared Error (NRMSE)

Project phases:

  1. Business understanding
  2. Business question definition
  3. Data acquisition and understanding
  4. Data cleaning
  5. Exploratory Data Analysis (EDA)
  6. Modeling (training, test, evaluation)
  7. Prediction of new data

πŸ‡§πŸ‡· PT-BR Project link

πŸ‡ΊπŸ‡Έ EN-US Project link