marcoac Goto Github PK

bayesian-analysis-with-python-second-edition

Bayesian Analysis with Python - Second Edition, published by Packt

bayesian-modelling-in-python

A python tutorial on bayesian modeling techniques (PyMC3)

capstone

causalgraphs_latex

Drawing graphical models for causal inference using LaTeX

ecg-arrythmia-classification-using-scalograms-and-cnn

edx-learning-from-data-solutions

Homework Answers

intrusion-and-anomaly-detection-with-machine-learning

Machine learning algorithms applied on log analysis to detect intrusions and suspicious activities.

intrusion-detection-svm

Intrusion Detection Algorithm - SVM and Enhanced SVM

ipython-notebooks

Some iPython Notebooks I have created for personal learning

kdd99ml

Demo of SciKit ML algorithms using the kdd99 dataset

kubeedge

Kubernetes Native Edge Computing Framework (project under CNCF)

latent-dirichlet-allocation

lda_pymc3

manning

Repository for the book Grokking Machine Learning, by Manning Editors

mcmc_project

Draw From Beta Distribution, Knapsack And Cryptography

network-intrusion-detection

Network Intrusion Detection KDDCup '99', NSL-KDD and UNSW-NB15

nids-intrusion-detection

Simple Implementation of Network Intrusion Detection System. KddCup'99 Data set is used for this project. kdd_cup_10_percent is used for training test. correct set is used for test. PCA is used for dimension reduction. SVM and KNN supervised algorithms are the classification algorithms of project. Accuracy : %83.5 For SVM , %80 For KNN

notes-on-dirichlet-processes

:game_die: Notes explaining Dirichlet Processes, HDPs, and Latent Dirichlet Allocation

pydata-book

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

pygibbslda

Python Implementation of Collapsed Gibbs Sampling for Latent Dirichlet Allocation (LDA)

pymc3

Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Theano

scikit-learn-videos

Jupyter notebooks from the scikit-learn video series

yardstick

Mirror of the OPNFV Yardstick Project