tonydurst's repositories
amss-1
Learn Bayesian Regression on simulated dataset
AnomalyDetection
Anomaly Detection with R
blogR
.Rmd files for blogR
causal-inference-intro
A quick introduction to the causal inference in R using the CausalImpact package
censusxy
R package for calling the U.S. Census Bureau's Geocoder API
Complete-Python-3-Bootcamp
Course Files for Complete Python 3 Bootcamp Course on Udemy
data
Data and code behind the articles and graphics at FiveThirtyEight
fivethirtyeight
R package of data and code behind the stories and interactives at FiveThirtyEight
funneljoin
Join tables based on events occurring in sequence in a funnel.
fuzzyjoin
Join tables together on inexact matching
ggplot2
An implementation of the Grammar of Graphics in R
ggplot2-book
The ggplot2 book
handson-ml
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
Installations_Mac_Ubuntu_Windows
Installations for Data Science. Anaconda, RStudio, Spark, TensorFlow, AWS (Amazon Web Services).
jupyter
Jupyter metapackage for installation, docs and chat
learn-python3
Jupyter notebooks for teaching/learning Python 3
ML-workflow-caret
Supervised Machine Learning workflow in R with multiple modelling using caret in R
networkx
Official NetworkX source code repository.
PythonDataScienceHandbook
Python Data Science Handbook: full text in Jupyter Notebooks
Resources_and_Bookmarks
Personal bookmarks and cheat sheets
RMD
Content for the webinar "Intro to RMD, Parameterized Reports, and Publishing to Connect"
Robyn
Robyn is an experimental, automated and open-sourced Marketing Mix Modeling (MMM) code from Facebook Marketing Science. It uses various machine learning techniques (Ridge regression with cross validation, multi-objective evolutionary algorithm for hyperparameter optimisation, gradient-based optimisation for budget allocation etc.) to define media channel efficiency and effectivity, explore adstock rates and saturation curves. It's built for granular datasets with many independent variables and therefore especially suitable for digital and direct response advertisers with rich dataset.
shiny-app-webinar
Content for "How to Build a Shiny App From Scratch" webinar
tonydurst.com
personal website
tychobra_presentations
Tychobra presentations
zipcodeR
Makes dealing with ZIP codes in R easier