rawsharkyu Goto Github PK

art

Adaptive Resonance Theory models

art-python

Adaptive Resonance Theory Neural Network

bayespy

Bayesian Python: Bayesian inference tools for Python

bernoulli-mixture-model-1

Implementation of Bernoulli Mixture Models in Python

courseraml-matlab-

This is for the coursera online course Machine Learning of Andrew Ng.

courserasql

For SQL online course in Coursera

data-challenge

data-text-mining

Data Archive

data-wrangling-uda-pj3

Using Python to do twitter data wrangling. Udacity DA proj3.

eda-uda-pj2

Using R language to explore and summarize data. Udacity DA nano program, project 2.

ee559-hw3

frogs_classification

Using SVM to do the multi-class and multi-label classification, with a uci's frogs data. EE 559 homework.

glfm

General Latent Feature Modeling for Heterogeneous data

glfm_dr

Directed Research of General Latent Feature Modeling

gmm

Gaussian Mixture Models in Python

googleanalytics

For Kaggle Competition Google Analytics Customer Revenue Prediction

hermes

Recommender System Framework

hw2

inf549

Introduction to Computational Thinking and Data Science

k-means_gmm

Python implementation of K-means and GMM clustering models

kmodes

Python implementations of the k-modes and k-prototypes clustering algorithms, for clustering categorical data

labsession1

liblinear

list_of_recommender_systems

A List of Recommender Systems and Resources

mnist-em-bmm-gmm

MNIST handwritten digits clustering using a Bernoulli Mixture Model and a Gaussian Mixture Model

pmtk3

Probabilistic Modeling Toolkit for Matlab/Octave.

prophet

Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

recommendersystems_pydata_2016

resume

Software developer resume in Latex

resume-1

个人中文简历 Latex 源码 https://hijiangtao.github.io/