The Kreilabs team welcomes Raúl Alvarez in February 2021. Raul is a Computer Engineer graduated in 2017, he defines himself as passionate about software development and arrives to strengthen our team. We are very excited about his incorporation and grateful …Read More
We explore an architecture for a complete software solution: deploy a Python model, from the user interface to the connection with the model and obtaining the results. Background For a long time and especially in our exploration stage in the …Read More
Throughout 2020 we have worked together with Bodegas Cerro Chapeu in the implementation of Odoo as a management system incorporating the following modules: accounting, electronic invoicing, orders, sales, customers and stock. In this project we have migrated their actual dataset …Read More
In a complicated, recessive year, and affected by the COVID-19 pandemic that has changed the world a little more, Kreilabs is born.Read More
The quality of that dataset is directly related to the organization that manufactures it and how that organization works on data quality.
The sustainability of our model could also be related to the quality of data in the organization.
Beyond data engineering, the accuracy of the model itself, and the performance in its production, if the organization it serves does not have data quality as a priority, probably the model will not be sustained over time.
We apply three different techniques of hyperparameter optimization on a classification model set to compare their accuracy.Read More
We explore platform.ai for image labeling, clustering, and eventually create a model into the tool for the full tag dataset. Link to the full text Photo by Martin Bargl on UnsplashRead More
Try an image classification model with an unbalanced dataset, and improve its accuracy through data augmentation techniques. Link to the full text in English Photo by USGS on UnsplashRead More
On December 14, we made the annual balance and projection of the company, defining the strategic plan for the future.Read More
We present our case of success in classifying user tickets by applying different techniques on natural language processing. With our model, we can determine the department of the software company to which to direct a new ticket entered by a …Read More