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Rodrigo Arenas

Rodrigo Arenas

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Jun 26

sklearn-genetic-opt 0.13: What Five Years of Genetic Search Taught Me

A builder’s retrospective and the biggest release since the library launched.

sklearn-genetic-opt 0.13: What Five Years of Genetic Search Taught Me

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TDS Archive

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Rodrigo Arenas

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Jun 22, 2022

How to Solve Scheduling Problems in Python

Use linear programming to minimize the difference between required and scheduled resources

How to Solve Scheduling Problems in Python

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TDS Archive

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Rodrigo Arenas

·

Jun 10, 2022

Adaptive Parameters Methods for Machine Learning

Let's explore some methods to adapt your parameters over time.

Adaptive Parameters Methods for Machine Learning

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TDS Archive

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Rodrigo Arenas

·

Dec 16, 2021

Evolutionary Feature Selection for Machine Learning

Learn how to make feature selection for machine learning algorithms using evolutionary models

Evolutionary Feature Selection for Machine Learning

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TDS Archive

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Rodrigo Arenas

·

Jun 24, 2021

Are You Still Using Grid Search for Hyperparameters Optimization?

Let's discuss the ideas behind how to search in a smart fashion the hyperparameters for your machine learning models.

Are You Still Using Grid Search for Hyperparameters Optimization?

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TDS Archive

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Rodrigo Arenas

·

Jun 18, 2021

Real-time anomaly detection with Apache Kafka and Python

Learn how to make predictions over streaming data coming from Kafka using Python.

Real-time anomaly detection with Apache Kafka and Python

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TDS Archive

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Rodrigo Arenas

·

May 26, 2021

Tune Your Scikit-learn Model Using Evolutionary Algorithms

Scikit-learn hyperparameters tuning with evolutionary algorithms and cross-validation.

Tune Your Scikit-learn Model Using Evolutionary Algorithms

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TDS Archive

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Rodrigo Arenas

·

Apr 10, 2021

Workforce planning optimization using Python

Learn how to find the optimal number of positions needed to manage an incoming traffic.

Workforce planning optimization using Python

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Analytics Vidhya

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Rodrigo Arenas

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Jan 29, 2021

Manage your machine learning lifecycle with MLflow in Python

In this post, we are going through the main aspect of MLflow, an open source platform to manage the lifecycle of machine learning models.

Manage your machine learning lifecycle with MLflow in Python

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Analytics Vidhya

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Rodrigo Arenas

·

Jul 6, 2020

Serve a machine learning model using Sklearn, FastAPI and Docker

Get your model ready to serve as an API

Serve a machine learning model using Sklearn, FastAPI and Docker

Rodrigo Arenas

Rodrigo Arenas

Data Scientist and open-source contributor working on machine learning, and optimization; for all my projects, check: https://www.rodrigo-arenas.com

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