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Official Matplotlib cheat sheets
Essential Cheat Sheets for deep learning and machine learning researchers https://medium.com/@kailashahirwar/essential-cheat-sheets-for-machine-learning-and-deep-learning-researchers-efb6a8ebd2e5
Compilation of R and Python programming codes on the Data Professor YouTube channel.
Example application code for the python architecture book
Datasets, tools, and benchmarks for representation learning of code.
Jupyter Notebook to create cohort analysis and sample data
A Python libreary for removing collinearity
Course Files for Complete Python 3 Bootcamp Course on Udemy
COMS W4995 Applied Machine Learning - Spring 20
A cross-platform command-line utility that creates projects from cookiecutters (project templates), e.g. Python package projects, C projects.
Business-like dashboard based on plotly Dash, written in Python and including layout customisations with .css bootstrap
Course for computational investing
Introduction to Python by Filip Schouwenaars
Implementing a CPPI strategy
iPython notebook and pre-trained model that shows how to build deep Autoencoder in Keras for Anomaly Detection in credit card transactions data
This repository includes the code used in my corresponding Medium post.
📚 Columbia University FinTech class assignments: algorithmic trading (pandas, alpaca api, etc.), machine learning (classification, natural language processing, deep learning), blockchain (solidity)
A set of tools and techniques used to measure and optimize ecommerce businesses
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 300 universities from 55 countries including Stanford, MIT, Harvard, and Cambridge.
Open-source demos hosted on Dash Gallery
Multi Page Dash App
General Assembly repo for Data Science 18
General Assembly's 2015 Data Science course in Washington, DC
Collection of useful data science topics along with articles, videos, and code
An experiment with the methodology using Python for analysis and d3js for visualization
These are the projects I've completed at General Assembly
case study datasets - Data Envelopment Analysis
Machine learning datasets used in tutorials on MachineLearningMastery.com
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.