Recently Published
Comparación R2, MAE y RMSE en predicción Energética con KNN, SVM, XGBoost, Random Forest, RNA, RNR, GRU y LSTM
Análisis comparativo de rendimiento entre algoritmos de Machine Learning ( KNN, SVM, XGBoost, Random Forest, RNA, RNR, GRU y LSTM) aplicados a la predicción de generación solar, eólica y demanda eléctrica. Se presentan métricas R², RMSE y MAE para evaluar precisión y errores de cada modelo.
Colon Cancer Lines Challenge Activity
DREAM-High Week 4 Activity 2. Looking at differential gene expression across colon cancer cell lines.
Statistical Methods for Your Data Science Needs
Objective: This webpage aims to explain the statistical methods I use as a Data Scientist in a clear and simple way, so that even people without a statistical background can understand them. Moreover, it explores how these statistical methods can help you with your Data Science needs.
Breast Cancer Cell Lines Analysis
by Joshua Gonzalez
Full Study 1 Analysis
Preregistered Status Expansion Belief Project
NWP Presentation
Presentation for NWP Shiny app NWP app
