ds-madhavan-ramani Goto Github PK
Name: Madhavan Ramani
Type: User
Bio: Data Scientist with keen interest on using Data Science and Artificial Intelligence for solving business problems
Location: Melbourne
Name: Madhavan Ramani
Type: User
Bio: Data Scientist with keen interest on using Data Science and Artificial Intelligence for solving business problems
Location: Melbourne
100 Days of ML Coding
100 data puzzles for pandas, ranging from short and simple to super tricky (60% complete)
These are the instructions for "100 Days of ML Code" By Siraj Raval on Youtube
30 days of Python programming challenge is a step by step guide to learn Python programming language in 30 days.
500 AI Machine learning Deep learning Computer vision NLP Projects with code
Detect anamolies in Digital Ad transactions data
Artificial Intelligence Engineer Nanodegree projects
Performance analysis of predictive (alpha) stock factors
Automated Machine Learning [AutoML] with Python, scikit-learn, Keras, XGBoost, LightGBM, and CatBoost
This repo contains annotated research papers that I found really good and useful
Approaching (Almost) Any Machine Learning Problem
Web interface for browsing, search and filtering recent arxiv submissions
This repository aims to map the ecosystem of artificial intelligence guidelines, principles, codes of ethics, standards, regulation and beyond.
:memo: An awesome Data Science repository to learn and apply for real world problems.
The most cited deep learning papers
A curated list of awesome Machine Learning frameworks, libraries and software.
Open source documentation of Microsoft Azure
Interactive Web Plotting for Python
Python, Machine Learning, Deep Learning and Data Science Books
Deploying Python for Data Analytics and Jupyter Notebook in the Cloud.
Notes to accompany Krish Naik's Udemy Course - Complete Machine Learning,NLP Bootcamp MLOPS & Deployment
Code to accompany Krish Naik's Udemy Course - Complete Machine Learning,NLP Bootcamp MLOPS & Deployment
The fast.ai course notebooks
fast.ai Courses
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 400 universities from 60 countries including Stanford, MIT, Harvard, and Cambridge.
This project reproduces the book Dive Into Deep Learning (www.d2l.ai), adapting the code from MXNet into PyTorch.
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.