Cheatsheets
Evaluation Metrics for Time Series Forecasting
Evaluation metrics, also known as performance measures or evaluative metrics, are quantitative measurements used to evaluate the performance and quality of a model or algorithm Read more…
Time Series
Can ChatGPT forecast if the price of Bitcoin will increase or decrease tomorrow?
This is a special article. We will try to get a model that could be able to predict whether the price of Bitcoin will increase Read more…
Time Series
Performance Metrics for Time Series Forecasting
In a previous article, we introduced the so-called “Error Metrics“, which focus on measuring the accuracy and magnitude of errors in the forecasted values when Read more…
Time Series
Step-by-Step Guide to Multivariate Time Series Forecasting with VAR Models
In a previous article, we introduced Vector Auto-Regression (VAR), a statistical model designed for multivariate time series analysis and forecasting. VAR provides a robust solution Read more…
Time Series
Error Metrics for Time Series Forecasting
Evaluation metrics, also known as performance measures or evaluative metrics, are quantitative measurements used to evaluate the performance and quality of a model or algorithm Read more…
Time Series
Step-by-Step Guide to Time Series Forecasting with SARIMA Models
We have talked about ARIMA and SARIMA models previously, however, we have never shown a real case step by step. Let’s first recap, to make Read more…
Time Series
Granger Causality in Time Series Forecasting
We talked about Vector Autorregression or VAR in a previous article. But, does it really make sense to use two different variables to get a Read more…
Time Series
Time Series Forecasting with Facebook Prophet III
In the previous part of our Facebook Prophet series, we covered how to model the seasonality component. You should also recall the first part, in Read more…
Machine Learning
Practical examples of Ensemble Learning models
Ensemble Learning is a powerful method used in Machine Learning to improve model performance by combining multiple individual models. These individual models, also known as Read more…
Time Series
Theoretical Introduction to VAR Models for Time Series Forecasting
There are times when we need to forecast several variables at the same time. For these occasions, traditional methods such as ARIMA or Exponential Smoothing Read more…