Name: Andrew Paul Acosta
Type: User
Company: Milesius Capital Resources LLC
Bio: Data Scientist and machine learning specialist in capital markets, energy, clinical trials, and retail demographics.
Location: Chicago
Blog: http://www.milesiuscapital.com/
Andrew Paul Acosta's Projects
Source code for Algorithmic Trading with Python (2020) by Chris Conlan
Amazon SageMaker Best Practices, published by Packt
Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker
Figures for the book Applied Predictive Modeling
Cash Flow at Risk
The Washington Post is compiling a database of school shootings in the United States since Columbine.
code for Data Science From Scratch book
Python SDK for Dropbox API v2.
R interface to dygraphs
:memo: A text file containing 479k English words for all your dictionary/word-based projects e.g: auto-completion / autosuggestion
Time value of money functions using actuarial methods
Presentation on R Packages by Hadley Wickham et al
ibm-cos-sdk-python
Six machine learning algorithms used on iris data
LaTeX code with related R, EPS, or other materials
Machine Learning with Amazon SageMaker Cookbook, published by Packt
Machine Learning in Finance: From Theory to Practice Book
A journey through Hadley Wickham's excellent book "ggplot2"
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 ;)
R code used for various projects, all snipped together somehow
Python function to retrieve data from Federal Reserve database , FRED into a Python dictionary
Convert RUnit tests to testthat tests
Sieve of Eratosthenes
Sieve of Eratosthenes
Spark: The Definitive Guide's Code Repository
Computation using data flow graphs for scalable machine learning
An R 📦 to make testing 😀