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algorithmic-trading-with-python

Source code for Algorithmic Trading with Python (2020) by Chris Conlan

analysis_russell2000

Companion code for Russell 2000 post

anomalous

Anomalous time series package for R

anomalydetection

Anomaly Detection with R

applied-ml

Code and Resources for "Applied Machine Learning"

automated-manual-comparison

Automated vs Manual Feature Engineering Comparison. Implemented using Featuretools.

awesome-systematic-trading

A curated list of awesome libraries, packages, strategies, books, blogs, tutorials for systematic trading.

aws-ec2-node-npm-setup

AWS docs suck hard 👎. Here's some streamlined steps on setting up nodejs and npm on a fresh EC2 instance.

big-data

:wrench: Use dplyr to analyze Big Data :elephant:

bookdown-demo

A minimal book example using bookdown

broom

Convert statistical analysis objects from R into tidy format

bslib

Custom 'Bootstrap' 'Sass' Themes for 'shiny' and 'rmarkdown'

corrr

R package for exploring correlations

data_science_r_projects

Contains examples of projects I've done using R

datasciencecoursera

This repo contains the files related to the Coursera Data Science Specialization

deeplearninginfinance

devika

Devika is an Agentic AI Software Engineer that can understand high-level human instructions, break them down into steps, research relevant information, and write code to achieve the given objective. Devika aims to be a competitive open-source alternative to Devin by Cognition AI.

dl-keras-tf

rstudio::conf(2020) deep learning workshop

docs

end-to-end-automl-insurance

An End-to-End Implementation of AutoML with H2O, MLflow, FastAPI, and Streamlit for Insurance Cross-Sell

geoexperimentsresearch

An open-source implementation of the geo experiment analysis methodology developed at Google. Disclaimer: This is not an official Google product.

geospatial

gridlayout

Package for setting up CSS grid layouts in Shiny apps or RMarkdown documents

histoslider

hugo-vixcon-example

journal

Business Science journal articles

lab_40_docker

lime

Local Interpretable Model-Agnostic Explanations (R port of original Python package)

m5-forecasting---accuracy

m5-methods

Data, Benchmarks, and methods submitted to the M5 forecasting competition