Latest posts
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Churn Rate de Clientes: Cómo construimos un motor de detección de churn con SVM y alertas automáticas
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Forecasting de Ventas: Arquitectura de un pipeline MLOps para llevar modelos de predicción a producción real.
Aprende a llevar tus modelos de Forecasting de ventas del notebook a la producción real. Analizamos una arquitectura MLOps end-to-end en GCP y Azure para automatizar la toma de decisiones y eliminar procesos manuales ineficientes.
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Arquitectura de Automatización End-to-End: Integración Multi-Cloud (Azure + GCP)
Cómo orquestar el salto del dato analítico a la ejecución lógica para eliminar la dependencia de procesos manuales.
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Crypto Trading Bot in Python: Automating your trading strategy
A few years ago, crypto market experienced a substantial increase in its portfolio values and reached daily transactions levels we had never seen before. Nowadays, FOMO has decreased but the amount of daily BTC volume (USD) still remains high, with over $16.33B traded daily in Binance for all pairs. In this context, trading bots can…
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Time Series Forecasting: Analyzing Trends and Predictions with Skforecast (II)
Introduction Today we’re going to talk about one of the most interesting topics nowadays, time series analysis and forecasting. Let me explain you through this post how to train a simply and effective model from Skforecast library in Python. Skforecast is a Python library that tries to ease Scikit-Learn use, add some interesting tools to…
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Time Series Forecasting: Analyzing Trends (I)
Introduction Time series analysis and forecasting are fundamental fields used by data scientists and other related roles to study trends. They are also among the most common projects that you may undertake in your current job. Today, the purpose of this post is to conduct a comprehensive analysis of a time series dataset and then…