Science Score: 44.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
    Found CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
  • Academic publication links
  • Academic email domains
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (4.5%) to scientific vocabulary
Last synced: 7 months ago · JSON representation ·

Repository

Basic Info
  • Host: GitHub
  • Owner: fAikoH-dot
  • Language: Jupyter Notebook
  • Default Branch: main
  • Size: 15 MB
Statistics
  • Stars: 0
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created over 1 year ago · Last pushed 10 months ago
Metadata Files
Readme Citation

README.md

Previsão de custos e preços de commodities agrícolas

This work focuses on the price forecasting of agricultural crops such as cotton, soybeans, corn, and wheat, aiming to obtain data up to two years in advance using statistical models and machine learning to assist producers in their strategic market positioning by estimating the prices of these commodities. To achieve this, an exploratory data analysis was conducted on the data obtained from the prices of these crops to find traces of seasonality and variables that provide significant improvements to the predictive model. Simple statistical algorithms, such as Linear Regression, and advanced ones, such as Auto Regressive Integrated Moving Average (ARIMA), as well as algorithms that apply Machine Learning like XGBoost, were explored. The results obtained using the ARIMA and PROPHET models were selected after analyzing the metrics, as well as the trends of the predicted curves and the study of the market over the past few years and how it reacts to global economic instabilities.

Owner

  • Name: Aiko
  • Login: fAikoH-dot
  • Kind: user

Citation (CITATION.cff)

cff-version: 1.2.0
message: "If you use this software, please cite it as below."
authors:
- family-names: "Hamatsu"
  given-names: "Fernanda"
title: "TCC-v1"
version: 1.0.0
doi: 10.5281/zenodo.1234
date-released: 2024-10-01
url: "https://github.com/fAikoH-dot/TCC-v1"

GitHub Events

Total
  • Push event: 27
Last Year
  • Push event: 27