Stars
Provide Korean Stock information with yfinance & naver news api
Trading Strategies, Test Blotters, Risk Compliance
Production Data Science: a workflow for collaborative data science aimed at production
Resources I used for ML Engineer, Applied Scientist and Quant Researcher interviews.
Python Basics with fundamental datastructure, loops, functions and class, input/output, plotting
Reproducible Machine Learning for Credit Card Fraud Detection - Practical Handbook
Covers the theory that underlies computationally intensive statistical methods. Topics include bootstrapping and resampling, Markov chain Monte Carlo methods, density estimation, curve fitting, mul…
Research project
Computational Statistics and Statistical Computing
Source code for the module "Advanced Statistics" 📊
A short course in scripting for data analysis with R
pdwaggoner / Math18
Forked from justingrimmer/Math18Stanford's Math Camp for 2018
pdwaggoner / EM
Forked from ayakubovich/EMGetting started with the Expectation Maximization algorithm, Mixture Models and Hidden Markov Models
pdwaggoner / polisci150b
Forked from rochelleterman/polisci150bMachine Learning for Social Science
pdwaggoner / datascience
Forked from data-8/datascienceA Python library for introductory data science
6-hour tutorial on machine learning in R: preprocessing, cross-validation, lasso, decision trees, random forest, xgboost, superlearner
Anomaly Detection with R
Replication files for my book "Modern Dimension Reduction"
Files and Scripts from my (now-very-dated) Intro to R course at William & Mary
For students of Harvard CSCI E-96 Data Mining for Business
Machine Learning Practice Codes