Jonathan Navarrete's repositories
NNetRecipes
Practical Neural Network Recipes in C++
BayesianDataAnalysis
Methods in R and Python for Bayesian Data Analysis
A-Recursive-Naive-Bayes-Learner-for-Sequence-Classification
A Recursive Naive Bayes Learner for Sequence Classification (Dataset: Reuters)
augmented_bayes
Python code for tree augmented naïve Bayes classifiers
CascadeCorrelation
Cascade correlation algo in python, still needs some work
Data-Analysis-Tools
Repo for general day to day command line tools
Deep-Forecast
The code of the paper 'Deep Forecast : Deep Learning-based Spatio-Temporal Forecasting", ICML Time Series Workshop 2017.
Doing-Data-Analysis
Course Material for Doing Data Analysis
GuiProjects
Python Gui Projects
High-Performance-Computing
High Performance Computing
kruskal
Kruskal algorithm
MLProjects
Machine Learning Projects
nEM
nested EM algorithm for improved maximum likelihood estimation of latent class models with covariates
neural
neural networks, sparse encoders, and recursive auto encoder sin python
neural-network-genetic-algorithm
Evolving a neural network with a genetic algorithm.
oreilly-matplotlib-course
Jupyter notebooks from my O'Reilly Media course "Matplolib for Developers: Data Visualization and Analysis with Python"
pmtk3
Probabilistic Modeling Toolkit for Matlab/Octave.
scipy2014_tutorial
Tutorial: Bayesian Statistical Analysis in Python
ShinyDeveloperConference
Materials collected from the First Shiny Developer Conference Palo Alto, CA January 30-31 2016