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Name: Sudarshan Singh
Type: User
Bio: Data Scientist
Twitter: mesdsingh
Location: India
Name: Sudarshan Singh
Type: User
Bio: Data Scientist
Twitter: mesdsingh
Location: India
:bulb: Minimal and clean examples of data structures and algorithms in Python
A collection of algorithms
In this study, we aimed to detect fraudulent activities in the supply chain through the use of neural networks. The study focused on building two machine learning models using the MLPClassifier algorithm from the scikit-learn library and a custom neural network using the Keras library in Python.
Artificial_Intelligence
This is the code notebook for the blog post on using Python and Auto ARIMA
:books: List of awesome university courses for learning Computer Science!
:memo: An awesome Data Science repository to learn and apply for real world problems.
A list of awesome and proven data science use cases and applications
A curated list of awesome Deep Learning tutorials, projects and communities.
A curated list of awesome Machine Learning frameworks, libraries and software.
Car.ly - Vehicle Insurance Claim Fraud Detection -- Machine Learning Strategies for Detecting Vehicle Insurance Claim Fraud
A toy chatbot powered by deep learning and trained on data from Reddit
R package to extract music chords
Simple Cobol Converter based on agents
Codespaces template for building a Python project
Course Files for Complete Python 3 Bootcamp Course on Udemy
Coursera Machine Learning - Python code
This contains notes and exercises made in Python I made a long time ago from the Andrew Ng course in Coursera.
Setup to evolve through the Machine Learning course.
I took Andrew Ng's Machine Learning course on Coursera and did the homework assigments... but, on my own in python because I love jupyter notebooks!
Andrew Ng's Machine Learning exercises rewritten in Python
Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
Quiz & Assignment of Coursera
Responsive dashboard templates for Bootstrap
Ipython notebook presentations for getting starting with basic programming, statistics and machine learning techniques
A curated set of resources for data science, machine learning, artificial intelligence (AI), data and text analytics, data visualization, big data, and more.
This repository was created as a hands-on activity of the Coursera's Data Science Specializations track.
Open Source Data Science Resources.
http://DataScienceSpecialization.github.io
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.