albahnsen Goto Github PK

advancedmethodsdataanalysisclass

albahnsen.github.io

website

applieddeeplearningclass

Class Applied Deep Learning - Summer 2018

costsensitiveclassification

CostSensitiveClassification Library in Python

cs231n.github.io

Public facing notes page

deepphish_blackhat_demo

2018 BlackHat Demo - DeepPhish: Simulating Malicious AI

developingdataproducts_project_albahnsen

kedro

Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable, and modular.

kedro-website

A repository for the official home of Kedro.

lime

Lime: Explaining the predictions of any machine learning classifier

linkedin-connect

miad_ml_and_nlp

ml_riskmanagement

Short Course - Applied Machine Learning for Risk Management

ml_securityinformatics

Short Course - Applied Machine Learning for Security Informatics

mlxtend

A library of extension and helper modules for Python's data analysis and machine learning libraries.

pandas-highcharts

phd-thesis

Repository of my PhD Thesis

practicalmachinelearningclass

presentation_jmlr_15_delgado14a

Presentation of the paper "Do we Need Hundreds of Classifiers to Solve Real World Classification Problems?" by Fernandez-Delgado, et al.

pycircular

pycircular is a Python module for circular data analysis

pyea

Python Evolutionary Algorithms Library

scikit-learn

scikit-learn: machine learning in Python

talk_demystifying_machine_learning

Pycon.co lightning talk "Demystifying Machine Learning"

temp

tutorial_practicalmachinelearning_pycon