David AndresinDataDrivenInvestorTrain and deploy your XGBoost model in Amazon SageMakerWe will use a Kaggle dataset about credit card fraud detection. This dataset consists of transactions made by credit cards in September…Nov 10, 20233Nov 10, 20233
David AndresinDataDrivenInvestorTheoretical Introduction to Recurrent Neural Networks: A Key Architecture for Time Series Data…Are you interested in mastering Time Series forecasting or natural language processing? Then you should learn about Recurrent Neural…Oct 31, 2023Oct 31, 2023
David AndresinDataDrivenInvestorWill Large Language Models replace Data Scientists?What are Large Language Models?Oct 25, 20231Oct 25, 20231
David AndresinDataDrivenInvestorExogenous Variables for Improving Forex Time Series Forecasting with XGBoostIn the last article, we learned how to train a Machine Learning model like Linear Regression or XGBoost to forecast Time Series data. We…Oct 20, 20232Oct 20, 20232
David AndresinDataDrivenInvestorPredicting Forex Time Series data using XGBoostIn a previous article, we talked about the Advanced Time Series models. We mentioned that these are models based on Machine Learning. Some…Sep 22, 20231Sep 22, 20231
David AndresinDataDrivenInvestorClassification of Advanced Time Series Forecasting Methods and when to use themSo far I have been talking about classical approaches when forecasting time series data. However, it is essential to explore alternative…Sep 1, 2023Sep 1, 2023
David AndresinDataDrivenInvestorStep-by-Step Guide to Multivariate Time Series Forecasting with VAR ModelsIn a previous article, we introduced Vector Auto-Regression (VAR), a statistical model designed for multivariate time series analysis and…Aug 17, 2023Aug 17, 2023
David AndresinDataDrivenInvestorThe Role of Granger Causality in Identifying Causal Relationships for Time Series ForecastingWe introduced Vector Autoregression or VAR in a previous article. But, does it really make sense to use two (or more) different variables…Aug 5, 20231Aug 5, 20231
David AndresinDataDrivenInvestorBeyond conventional metrics: exploring alternative aspects of your Time Series modelsIn a previous article, we introduced the so-called “Error Metrics“, which focus on measuring the accuracy and magnitude of errors in the…Jul 29, 2023Jul 29, 2023
David AndresinDataDrivenInvestorBeyond MAE and RMSE: 6 Error Metrics to assess Time Series modelsEvaluation metrics, also known as performance measures or evaluative metrics, are quantitative measurements used to evaluate the…Jul 22, 20233Jul 22, 20233