Cyclistic Success Coursera

Este proyecto presenta la implementación de un modelo de clasificación basado en Árboles de Decisión, aplicado a datos reales del sector bancario. Incluye procesos de exploración, preprocesamiento, poda del árbol y evaluación del desempeño, con el objetivo de apoyar la toma de decisiones mediante análisis predictivo.

This is an extension to the last two weeks of machine learning, data extraction, exploratory data analysis, and inference on multiple sclerosis data from 20 base pair long cDNA strings to find the genes via BLAST not visually shown as part of the documents but described. In this we see if its possible to get the top 41 genes that changed the most in multiple sclerosis from those silence and those enhanced, by consuming more or less amino acids seen in the silenced gene fragments by amino acid abundance and enhanced. Explanation of essential amino acids and non-essential amino acids, neurotransmitter glutamate exploration of presence in amino acid sequences of genes and more.

Herramientas Profesionales para Data Science

This document contains the solutions to some of the exercises from the 3rd chapter of "A First Course in Bayesian Statistical Methods" by Peter D. Hoff. Note that only the solutions requiring code have been posted. The rest are doable or are to be done only by hand.