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bayesian_models

Artificial Intelligence projects, documentation and code.

bdp-xfc

Base de datos de la vida académica de la Facultad de Ciencias de la UNAM

bonferroni-confidence-intervals

Some notes and code to compute the Bonferroni and Simultaneous confidence interval for multivariate data and confidence ellipse.

categorizing-music

Analysis of an extract of data from the Free Music Archive (FMA) data set using LDA, QDA, multilogit and Neural networks classificators.

charlas

cv-fold

Using CV-FOLD to get the best parameters to classificate tree diferent data sets with 5 classificators: -Support vectors machine -Logistic regression -Decision tree -Ada boost -MLP classifier Obtaining the best score with support vector machine and Neural Networks.

cv-fold-fruits-dataset

Using CV-FOLD to get the best parameters to classificate the MNIST-digits data set with 5 classificators: -Support vectors machine -Logistic regression -Decision tree -Ada boost -MLP classifier Obtaining the best score with support vector machine.

cv-fold-mnist-digits

data-science-course-1

deep-learning-in-production

In this repository, I will share some useful notes and references about deploying deep learning-based models in production.

determinant-of-a-matrix

C implementation to compute the determinant of an nxn matrix using minors.

fc-adml

fda-and-weighted-fda-

Implementation of FDA and weighted FDA using a linear regression over the labels

hackathon-riiaa-2021

imbalanced-methods

This repositorie contains some stuff to balance datasets when non-extreme umbalance is present.

intro-a-deep-learning-unam-fc

En este repositorio subiremos códigos útiles para el curso.

kernel-k-means

Implementation of kernel k-means in python

lda-qda-mnist

Comparation of Linear an Quadratic linear discriminant with a baseline using a multioutput regression for a classification task on MNIST digits data set.

manifold-learning

This repositorie includes some notebooks that implement several methods for manifold learning techniques for dimentionality reduction.

medical-infraestructure-analysis

In this repository are some notebooks to explore the medical public infraestructure of México.

missing-values-inputation-methods-

Comparative analysis of four different machine learning inputation methods for data sets with missing values.

model-selection-lm-

Some tools to chose variables when linear models are proposed.

modelorepositoriojusticia

Este es un ejemplo de como deben de crear su repositorio.

noise-reduction-techniques

This repositorie contains a notebook and an executable .py with a class that includes five implementations of methods to reduce the noise in a data set.

on-line-perceptron

Implementation of on line learning simple perceptron tested in a Diabetes data set and compared with LDA, QDA and Logistic Regression classificators.

parallel-monte-carlo

Using Rcpp and omp libraries from R to compute C code and make parallel process, an implementation for parallel Monte Carlo is made in this repository, is used to solve Buffon's Needle problem and is compared with a non parallel method.

pca-on-eigenfaces-and-fruits-dataset

PCA representation of eigenfaces and knn to find your most similar face

picogpt

An unnecessarily tiny implementation of GPT-2 in NumPy.

polish-notation-

C Program that takes an infix expression and returns its numeric value.

preprocessing

Some notebooks to ilustrate some preprocessing techniques.