r4msi

Data Scientist at Electronic Arts

Electronic ArtsMadrid

Pinned Repositories

covid
Website done with streamlit and python about the COVID19 in Spain.
Language:Python0 1 00
datasets
Fuente de datos de los reportajes y proyectos de periodismo de investigación y datos de DATADISTA
Language:HTML0 0 00
DrivenData-DengAI-CNN
Top 46
Language:Jupyter Notebook0 1 00
DrivenData-PumpItUp
PumpItUp competiton. #135 of 8500 competitors. Accuracy: 0.8244
1 1 00
EDA-functions
Functions to save time when doing EDA.
Language:R0 1 00
Global_Warning_Shiny
Language:HTML0 1 00
LSTM_Ozone
Language:Jupyter Notebook00
Numerical_Inference
Language:HTML0 1 00
PowerBI-ThemeTemplates
Snippets for assembling Power BI Themes
0 0 00
PrincipalComponent
Language:R0 1 00

r4msi's Repositories

r4msi/DrivenData-PumpItUp
PumpItUp competiton. #135 of 8500 competitors. Accuracy: 0.8244
1 1 00
r4msi/covid
Website done with streamlit and python about the COVID19 in Spain.
Language:Python0 1 00
r4msi/datasets
Fuente de datos de los reportajes y proyectos de periodismo de investigación y datos de DATADISTA
Language:HTML0 0 00
r4msi/DrivenData-DengAI-CNN
Top 46
Language:Jupyter Notebook0 1 00
r4msi/EDA-functions
Functions to save time when doing EDA.
Language:R0 1 00
r4msi/Global_Warning_Shiny
Language:HTML0 1 00
r4msi/LSTM_Ozone
Language:Jupyter Notebook00
r4msi/Numerical_Inference
Language:HTML0 1 00
r4msi/PowerBI-ThemeTemplates
Snippets for assembling Power BI Themes
0 0 00
r4msi/PrincipalComponent
Language:R0 1 00
r4msi/PythonEDA-MachineLearning
Language:Jupyter Notebook1 0
r4msi/sentimentr
Dictionary based sentiment analysis that considers valence shifters
Language:R0 0
r4msi/shiny-examples
Language:JavaScript0 0
r4msi/TFM
Language:HTML1 2