schonrahul Goto Github PK

automating-azure-analysis-services

Code samples for a SQL Saturday presentation on the topic of Automating Azure Analysis Services

azure-docs

Open source documentation of Microsoft Azure

azureml-examples

Official community-driven Azure Machine Learning examples, tested with GitHub Actions.

cognitive-vision-python

Jupyter Notebook with Python samples for the Cognitive Services Computer Vision API

covid-dash

covid19

Resources for the Udemy Course - Azure Data Factory For Data Engineers - Project on Covid19

dash-bootstrap-components

Bootstrap components for Plotly Dash

deploying-machine-learning-models

Example Repo for the Udemy Course "Deployment of Machine Learning Models"

fullstack.ai

End-to-end machine learning project showing key aspects of developing and deploying ML driven application

git-demo

Git Tutorial

introductiontomachinelearningforsecuritypros

Example code for our book Introduction to Artificial Intelligence for Security Professionals

islr-python

An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code

jupyter-themes

Custom Jupyter Notebook Themes

machinelearningnotebooks

Python notebooks with ML and deep learning examples with Azure Machine Learning Python SDK | Microsoft

mastering-machine-learning-for-penetration-testing

Mastering Machine Learning for Penetration Testing, published by Packt

ml-coursera-python-assignments

Python assignments for the machine learning class by andrew ng on coursera with complete submission for grading capability and re-written instructions.

mlkits

Starter projects for machine learning

mlops-iris

Create a fully automated, end-to-end IRIS Training and Deployment using Azure MLOps

mslearn-dp100

Lab files for Azure Machine Learning exercises

nd-pyomo-cookbook

A repository of Pyomo examples.

net-intro

Introduction to Network Technology

pandas_cub

Learn how to build a data analysis library from scratch

pandasgui

A GUI for Pandas DataFrames

plotly-dashboards-with-dash

This is the repo for the Udemy Course Python Dashboards with Plotly's Dash

ppscore

Predictive Power Score (PPS) in Python

signature-recognition

Signature recognition is a behavioural biometric. It can be operated in two different ways: Static: In this mode, users write their signature on paper, digitize it through an optical scanner or a camera, and the biometric system recognizes the signature analyzing its shape. This group is also known as “off-line”. Dynamic: In this mode, users write their signature in a digitizing tablet, which acquires the signature in real time. Another possibility is the acquisition by means of stylus-operated PDAs. Some systems also operate on smart-phones or tablets with a capacitive screen, where users can sign using a finger or an appropriate pen. Dynamic recognition is also known as “on-line”. Dynamic information usually consists of the following information:

signature_detection

A package for signature detection

signature_extractor

A super lightweight image processing algorithm for detection and extraction of overlapped handwritten signatures on scanned documents using OpenCV and scikit-image.

udacity-intro-to-ml-labs

whitenoise-core

Differential privacy validator and runtime