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deep_learning_bootcamp

All the learning material for deep learning bootcamp can be found in this repository

disaster-response-pipeline

ETL pipeline combined with supervised learning and grid search to classify text messages sent during a disaster event

dnn.platform

DNN (formerly DotNetNuke) is the leading open source web content management platform (CMS) in the Microsoft ecosystem.

dp100

Labs for Course DP-100: Designing and Implementing Data Science Solutions on Microsoft Azure

dsnd_term2

Contains files related to content and project of DSND Term 2

explore-us-bikeshare-data

(Udacity) Programming for Data Science Nanodegree 2nd Project: Exploring Bike share data from 3 differents cities

fairlearn

A Python package to assess and improve fairness of machine learning models.

ford-gobike-system-data-visualization

full_chatbot_system_on_gcp

ga-2017-spring-ds-course

heart-failure-prediction-project

Udacity Capstone Project

ibm-data-science-professional

intel-edge-ai-for-iot-developers-nanodegree-program

Leverage the Intel® Distribution of OpenVINO™ Toolkit to fast-track development of high-performance computer vision and deep learning inference applications, and run pre-trained deep learning models for computer vision on-premise. You will identify key hardware specifications of various hardware types (CPU, VPU, FPGA, and Integrated GPU), and utilize the Intel® DevCloud for the Edge to test model performance on the various hardware types. Finally, you will use software tools to optimize deep learning models to improve performance of Edge AI systems. - Source

intel-edge-ai-for-iot-developers-nanodegree-projects

Projects for Udacity Intel Edge AI for IoT Developers Nanodegree.

intel-edge-ai-foundation-course---exercise

intel-edge-ai-scholarship-foundation-course-nanodegree-program

Intel® Edge AI Scholarship Foundation Course Nanodegree Program Repository

intel-edge-ai-scholarship-foundation-course-nanodegree-program-show-case-group-project

intel-edge-ai-scholarship-project

The objective of the project is to run AI on the edge on CCTV camera at home looking over the driveway and the Android application can show you the status of the number of Cars or People present at the driveway in realtime. On the base level the camera uses the Optimized model to detect the number of cars and people present in the driveway and then if there is any change in the number of cars or people it updates the change to the cloud database. The android app picks up the changes in the cloud database in realtime and thus updates it on the app.

introduction-to-big-data-

jupyterlab-git

A Git extension for JupyterLab

lighthouse

Auditing, performance metrics, and best practices for Progressive Web Apps

machine-learning-engineer-with-microsoft-azure

project#1 Machine-Learning-Engineer-with-Microsoft-Azure

machine_learning_playground

Playground for Machine Learning

machinelearningnotebooks

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

madewithml

Learn how to responsibly deliver value with applied ML.

mastering-machine-learning-on-aws

Mastering Machine Learning on AWS, published by Packt

matplotlib-tutorial

Matplotlib tutorial for beginner

microsoft-azure-architect-technologies-for-cloud-cofiguration

microsoft-udacity-ml-scholarship

microsoftml-projectshowcasing

A repository to keep all open sources projects that created by individuals or study groups of Microsoft ML Scholarship