Agent-based simulation to assess different rules for challenges in open innovation
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Updated
Apr 6, 2019 - HTML
Agent-based simulation to assess different rules for challenges in open innovation
The objective of the project is to apply deep learning techniques in finding the existence of exoplanet. This is achieved by reducing the dimension of the data, followed by generating multiple unique models, parameter tuning of models and finally validating the model.
Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE. This is the data repository for the 2019 Novel Coronavirus Visual Dashboard operated by the Johns Hopkins University Center for Systems Science and Engineering (JHU CSSE). Also, Supported by ESRI Living Atlas Team and the Johns Hopkins University Applied Physics Lab (JHU APL).
Data Analysis + Social Science project, model building, 2020.
This repository contains the R files for DSCI5300.
Survey of a 20,000 boardgame dataset. Used supervised machine learning to cluster data into meaningful groups for visualization and potential game-recommendation prediction.
Config files for my GitHub profile.
Explore our Time Series Analysis project on gasoline demand forecasting, where meticulous modeling and diverse techniques, including Box Cox transformation and SARIMA models, lead to successful predictions for future demand.
Melanoma research repository with resources and tools of our study. Focusing on identifying DNA repair gene relations and studying mutations in melanoma specific genes BRAF, NRAS, TERT. Also, investigating the impact of DNA repair gene mutations on etiopathogenic genes. Data not included due to sensitivity, but code available for study replication
A classwork example in which R / R Studio is used to review production data for insights to help a manufacturing team
This R project conducts a comprehensive analysis of customer distances and sales for retail stores. Leveraging SQL server connectivity, it calculates distances, categorizes sales within specified radii, and outputs insightful data for retail business decision-making.
Big Data Analysis on Titanic Dataset
Automatic dataread and statistics done with R
Testeo de modelo de regresión lineal entre el pbi y el riesgo pais argentino 1999-2023. Limpieza y transformación de datos con SQL y Excel. Regresión lineal, Test F y Coeficiente de determinación (R2) con R.
Course Materials for Econ classes taken at BC in 2019 Fall Semester
Data Science Specialization in R with Coursera
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