Javier (Javcm)

Javcm

Geek Repo

Company:CIMAT

Location:Monterrey

Home Page:https://www.instagram.com/javcm_/

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QuarantineHUB

Javier's repositories

Intro-a-Deep-Learning-UNAM-FC

En este repositorio subiremos códigos útiles para el curso.

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Kernel-k-means

Implementation of kernel k-means in python

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Missing-values-Inputation-methods-

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

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BDP-XFC

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

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Imbalanced-Methods

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

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Medical-Infraestructure-analysis

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

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Model-Selection-LM-

Some tools to chose variables when linear models are proposed.

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Bonferroni-confidence-intervals

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

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Categorizing-Music

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

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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.

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Deep-Learning-in-Production

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

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FDA-and-weighted-FDA-

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

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Manifold-Learning

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

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ModeloRepositorioJusticIA

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

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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.

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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.

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PCA-on-Eigenfaces-and-Fruits-DataSet

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

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picoGPT

An unnecessarily tiny implementation of GPT-2 in NumPy.

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Preprocessing

Some notebooks to ilustrate some preprocessing techniques.

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Pro_py

Proyecto secreto

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Riesgo-COVID-en-metropolis-SPI-2021

Este repositorio cuenta con el trabajo hecho para estimar riesgos de infección para COVID 19 en zonas metropolitanas de México.

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SiamMask

[CVPR2019] Fast Online Object Tracking and Segmentation: A Unifying Approach

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skforecast

Time series forecasting with scikit-learn models

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Spotify-API

Notebooks to extract spotify data

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Tareas

Tareas del curso Análisis de datos y machine learning de la Fac. de Ciencias

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