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…·8 min read·Nov 10, 2023--3--3
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…·6 min read·Oct 31, 2023----
David AndresinDataDrivenInvestorWill Large Language Models replace Data Scientists?What are Large Language Models?·12 min read·Oct 25, 2023--1--1
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…·7 min read·Oct 20, 2023--2--2
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…·8 min read·Sep 22, 2023--1--1
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…·6 min read·Sep 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…·12 min read·Aug 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…·9 min read·Aug 5, 2023--1--1
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…·7 min read·Jul 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…·10 min read·Jul 22, 2023--3--3