sudipkumarbhattacharya Goto Github PK

followers: 2.0 following: 9.0 repos: 32.0 gists: 0.0

Name: Sudip Kumar Bhattacharya

Type: User

Sudip Kumar Bhattacharya's Projects

This repository is for active development of the Azure SDK for Python. For consumers of the SDK we recommend visiting our public developer docs at https://docs.microsoft.com/en-us/python/azure/ or our versioned developer docs at https://azure.github.io/azure-sdk-for-python.

azure_notebook_projects

Imported from Azure Notebook Microsoft Projects

books

my books

butterfly

🦋Butterfly，A JavaScript/React/Vue2 Diagramming library which concentrate on flow layout field. (基于JavaScript/React/Vue2的流程图组件)

code-snippets

Chrome DevTools code snippets

cognitive-services

Example pipeline for analyzing electronic records using Azure Cognitive Services.

cognitive-services-quickstart-code

Code Examples used by the Quickstarts in the Cognitive Services Documentation

covid19

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

d3-mitch-tree

D3 plugin to create stunning interactive tree visualisations.

datacamp

DataCamp data-science courses

deep-learning-books

Books for machine learning, deep learning, math, NLP, CV, RL, etc

devtools-snippets

A collection of helpful snippets to use inside of browser devtools

github-slideshow

A robot powered training repository :robot:

gke-with-devops-75-real-world-demos

Google Kubernetes Engine GKE with DevOps 75 Real-World Demos

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

jsmind

Javascript version of mind mapping

learnpythonforresearch

This repository provides everything you need to get started with Python for (social science) research.

machine-learning-roadmap

A roadmap connecting many of the most important concepts in machine learning, how to learn them and what tools to use to perform them.

machine_learning_projects

The following contains jupyter notebooks of the examples and exercises as found in the “Hands-On Machine Learning with Scikit-Learn, Keras and TensorFlow by Aurélien Géron (O’Reilly). Copyright 2019 Aurélien Géron, 978-1-492-03264-9.”