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In this repository, I am practiced and implemented various machine learning algorithms using the real-world dataset amazon food reviews from Kaggle.
The replication data and files for Liangjun Su, Zhentao Shi and Peter Phillips (2016, Econometrica): “Identifying Latent Structures in Panel Data”
Portfolio of data science projects completed by me for academic, self learning, and hobby purposes.
https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3350138
A collection of Dynare models
Calculate U.S. equity (portfolio) characteristics
experiments with python
Modular R code for extracting risk neutral density from options. Heavily depend on steve figlewski's work.
This is a PhD course on financial frictions in macroeconomic models. This repository includes all the materials taught and is constantly updated
Example code to create firm level risk in Hassan et al. (2020)
Accounting Fraud Detection Using Machine Learning
Option based P-density with time-separable utility function
Main functions are in the file Google Trends functions.
Matteo Iacoviello's personal webpage
Jdmbs: An R Package for A Monte Carlo Option Pricing Algorithm for Jump Diffusion Model with Correlation Companies
Inference on impulse responses using local projection or VAR methods, with or without lag augmentation.
Source code for the Library of Statistical Techniques
Simulation study of Local Projections, VARs, and related estimators
Implementation of code snippets, exercises and application to live data from Machine Learning for Asset Managers (Elements in Quantitative Finance) written by Prof. Marcos López de Prado.
D-Lab's Machine Learning Working Group at UC Berkeley, with supervised & unsupervised learning tutorials in R and Python
Code Repository for MS20190155
Empirical Data and Some Simulation Codes
Developing a long/short equity investment portfolio with Machine Learning predictions using data acquired from web-scraping. Flatiron Module 5 Project.
Analysis of mutual fund schemes in India
Capstone Project for General Assembly Data Science Immersive
Python scraper for extracting holdings data from corporate bond fund NCSR forms
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.