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bart-workshop

baseball

Baseball data analysis in Python

baseball-hall-of-fame

Cohort 13 Capstone Project for the Certificate of Data Science at Georgetown University School of Continuing Studies.

baseball-reference-extracts

Different python codes that help with pulling information of MLB baseball games from Baseball Reference

baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

baseltools

A framework for estimating Basel IV capital requirements.

bash

bash-httpd

bash-httpd is a web server written in bash, the GNU bourne shell replacement.

bash_hpc_workshops

Links to current command line and HPC workshop materials and learning resources.

basic-dataset

a collection of Dataset from various sources

basic-sql-programming-cind-110---data-organization-for-data-analysts-

A few of my assignments using the Oracle VM Virtualbox. ER Diagrams and basic SQL is taught in this class. Taken in Spring/Summer 2019

basis

Basis data, analysis, and visualization

basketball_reference_web_scraper

NBA Stats API via Basketball Reference

basketballdata

baskets

Break down ETFs and report aggregated exposure to individual instruments

bayarea_urbansim

UrbanSim implementation for the San Francisco Bay Area

bayescpd

changepoint detection for Bayesian models

bayesian-baseball-results

Predicting MLB Games Using Bayesian Models

bayesian-machine-learning

Notebooks about Bayesian methods for machine learning

bayesian-mfa-paper

Code and data supporting the paper "Incremental Material Flow Analysis with Bayesian Inference"

bayesian-model-evaluation

Presented at Scipy Conference 2019

bayesian-modelling

Projects on Bayesian modelling

bayesian-optimization

Reference implementation of Optimistic Expected Improvement.

bayesian-probabilistic-numerical-methods-in-time-dependent-state-estimation-for-industrial-hydroc...

Bayesian Probabilistic Numerical Methods in Time-Dependent State Estimation for Industrial Hydrocyclone Equipment, by Chris J. Oates, Jon Cockayne, Robert G. Aykroyd, Mark Girolami

bayesian-stats-modelling-tutorial

How to do Bayesian statistical modelling using numpy and PyMC3

bayesian-zsl

bayesian_network

bayesian network from R & N textbook

bayesianmethodsforhackers

bayesianoptimization

A Python implementation of global optimization with gaussian processes.

bayesimg

Bayesian Image Reconstruction