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Monte Carlo adaptation
This is an adaptation of the Code created by James Topor. All credit for the code goes to him, as this is just an example that produces a different seed value to highlight the randomness of a Monte Carlo simulation.
TALLER N°2
Desarrollo del taller N°2 del curso "STATISTICS PROGRAMMING FOR BUSINESS ANALYTICS"
pH Modeling
Data 624 project 2
SDaouki_Final_Project
This is the final project for DATA 605. The project is about "You have some experience with R or Python and machine learning basics. This is a perfect competition for data science students who have completed an online course in machine learning and are looking to expand their skill set before trying a featured competition. " kaggle.com
TALLER-APE 4: Publicar mis Conocimientos en RPUBS
Este es el taller 4
PIT9210_Set_theoretic_Methods
Will differ a bit from original paper