tonydurst Goto Github PK

abhat222-data-science--cheat-sheet

amss

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

customer_churn_analysis

In the customer management lifecycle, customer churn refers to a decision made by the customer about ending the business relationship. It is also referred as loss of clients or customers. Customer loyalty and customer churn always add up to 100%. If a firm has a 60% of loyalty rate, then their loss or churn rate of customers is 40%. As per 80/20 customer profitability rule, 20% of customers are generating 80% of revenue. So, it is very important to predict the users likely to churn from business relationship and the factors affecting the customer decisions. We are going to show how logistic regression model using R can be used to identify the customer churn in the telecom dataset.

data

Data and code behind the articles and graphics at FiveThirtyEight

data-science-projects

Repo for data science projects I'm working on.

datascience

This shows examples of proficiency with various data mining algorithms.

datasciencecoursera

datasharing

The Leek group guide to data sharing

dm-flow

Library of SAS Enterprise Miner process flow diagrams to help you learn by example about specific data mining topics.

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

geoexperimentsresearch

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

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.

https---github.com-tonydurst-datasciencecoursera

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

misctutorial

ml-workflow-caret

Supervised Machine Learning workflow in R with multiple modelling using caret in R

monty_hall_problem

networkx

Official NetworkX source code repository.