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Pricing European Options using Normal Inverse Gaussian Processes and Fast-Fourier-Transforms
Artificial Intelligence projects(Finance, Real time API's, Flask)
Repo for AIML case studies and projects
Predicting loan defaults
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
PyTorch implementation of Grad-CAM
An Interview Primer for Quantitative Finance
Create a Model to predict movement of S&P 500 Index based on Quantitative, Qualitative and Public sentiment factors. • Natural language processing (NLP) is used to derive a variable for Public sentiment. • A Final Model is created using ML techniques like Decision Trees, SVMs, Random Forests, Neural Networks.
Efficient financial risk estimation via computer experiment design (regression + variance-reduced sampling)
A short course on survival analysis applied to the financial industry
This is the collection of my own SAS utility macros/ sample code over my past 10 years of SAS programming and analysis experience.
Credit card fraud detection using concepts of self organizing maps.
This repo is for demonstration purposes only.
Exercise answers to the problem sets from CS224n: Natural Language Processing with Deep Learning Winter quarter (January - March, 2017)
Course material for STAT 479: Machine Learning (FS 2019) taught by Sebastian Raschka at University Wisconsin-Madison
Statsmodels: statistical modeling and econometrics in Python
OHLC Average Prediction of Apple Inc. Using LSTM Recurrent Neural Network
Jupyter notebooks for summarizing and reproducing the textbook "The Elements of Statistical Learning" 2/E by Hastie, Tibshirani, and Friedman
A series of Python Jupyter notebooks that help you better understand "The Elements of Statistical Learning" book
Introduction to Probability - The Science of Uncertainty
This repository contains Ipython notebooks and datasets for the data analytics youtube tutorials on The Semicolon.
A Stochastic Reachability Approach to Asset Allocation
Jupyter notebook tutorials from QuantConnect website for Python, Finance and LEAN.
Analyzing tweets about US airlines on Twitter to find out sentiment of users about them
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.