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Handling missing data
Effectively handling missing data with univariate and multivariate imputation ensures reliable analysis and accurate machine learning models
Juan Manuel Ortiz de Zarate
Sep 10, 202411 min read
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Understanding what the ML models have learned
Models could spread bias and discrimination if you don't know what they have learned. Here we show a technique to prevent it.
Juan Manuel Ortiz de Zarate
Aug 2, 202410 min read
11 views


The Fundamental Tool in Machine Learning: Decision Trees
Unlock the power of decision trees! Discover how this simple yet robust tool can revolutionize your data analysis.
Juan Manuel Ortiz de Zarate
Jul 26, 202411 min read
23 views

MLFlow + Hydra: A Framework for Experimentation with Python
In this article I share a experimentation framework I work with in my daily job. It uses MLFlow and Hydra to facilitate hypothesis testing.
Cristian Cardellino
May 23, 20249 min read
31 views

Tracking Multiple Experiments with Hydra
In this article we'll explore Hydra, a tool for managing multiple configuration parameters and file when doing machine learning for research
Cristian Cardellino
May 5, 202410 min read
17 views


Modeling Data with Bayesian Statistics
In this article we will go through a quick overview of what Bayesian modeling is and how can we use probabilistic programming to leverage it
Cristian Cardellino
Mar 30, 20249 min read
13 views

Deploying Machine Learning Models with FastAPI and Docker
In this article, we will see how we can leverage FastAPI and Docker to build a wrapper REST API around ML models and deploy it.
Cristian Cardellino
Mar 15, 202411 min read
45 views


Practical Machine Learning for Industry
In this article I'll share with you some advice based on personal experience when doing practical machine learning for the industry.
Cristian Cardellino
Feb 22, 202411 min read
23 views
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