BASM - 2017 Spring
-
Updated
Apr 22, 2018 - HTML
BASM - 2017 Spring
Easy-to-use collection of statistical methods and techniques, all written in R 🗂
Material del curso intersemestral "Análisis de Varianza (ANOVA): Introducción a la modelización de datos en R" impartido en el verano de 2017 por Mtro. Said Jiménez, Josué Mendoza, y Diego Ángeles Valdez en la Facultad de Psicología, UNAM.
A manuscripts of mine about mathematics and computer science.
📉 Statistical Analysis
The projects displayed are part of my course in Great Learning - Business Analytics and Business Intelligence
Script for Human Activity detection that is based on Kaggle's Human Activity Recognition Dataset Using different methods
Examples of MRT (Duncan's new multiple range test)
All my R code used for statistical analyses - Hypothesis Testing, t-tests, etc.
Projet d'analyse de données en R | Étude d'un jeu de données de baseball à l'aide des outils classiques des statistiques.
My portfolio of algorithms I used to analysize various shapes and forms of data with statistical and machine learning tools.
Curso de Regression Models do Coursera
Wine dataset statistical analysis using Hypothesis testing (F-test, T-test, ANOVA, ANCOVA). Using machine learning to predict wine quality. Using regularization with 10 fold cross validation to overcome overfitting. Created different visualizations on the dataset.
Exploring the Primacy Effect in Victim and Perpetrator Foci in moral Emotions
Analysis of Categorical Variables
Add a description, image, and links to the anova topic page so that developers can more easily learn about it.
To associate your repository with the anova topic, visit your repo's landing page and select "manage topics."