We detail step by step the procedure to develop a regression model to be in the “top 10” of this global competition Link to
We review fastai for Pytorch to classify images and to clean the training dataset. We create an images dataset with Google, apply the model on
Analyze the behavior of a regression model by adding or removing variables based on their correlation, and review how to handle dates and cyclical variables in python.
Based on public data from l.a.c.a. we completed the historical temperature record of the azapa-chile weather station between 1977-1980. Gabriel Naya | Kreilabs | 10/6/2019
Within the framework of the competition on data science and artificial intelligence of the Kaggle platform, we enrolled in the price prediction competition for home sales.
En un marco de gran aprendizaje, venimos mejorando nuestro modelo posicionándolo en el top – 10 internacional.
Kreilabs is then entrepreneurship that puts us on the path of technological innovation, through the development of: Laboratory We take contact with advanced technologies, we
On March 15 and 16, we participated in the Campus Party 2019 event, which held at the “Punta Del Este Convention Center.
