a-b-testing

This is a replicated code for A/B testing from a Datacamp course. I am using the script to test some of my own data.

campaign_effect_verification

causalml

Uplift modeling and causal inference with machine learning algorithms

climatechange_mitigation

RQ: What makes some climate change mitigation policies and measures (PaMs) more successful than others in GHG (greenhouse gases) emission reductions in Europe?

cohort-analysis

This analysis is a replication of Jerry Dormetus's one (available at: https://rstudio-pubs-static.s3.amazonaws.com/365184_904c4369586e49fc8fa08adcae1d559d.html#introduction). The data analysis is applied on an online retail data set available at: http://archive.ics.uci.edu/ml/datasets/online+retail. Cohort analysis is a popular behavioral analytics technique utilized to tackle retention and churn rates of cohorts within intervals of available customer data.

customer-segmentation

customer-segmentation- RFM--This project is a replicaiton of customer segmentation project by Luis Noguera (link: https://rpubs.com/lnoguera/Customer-Segmentation) It is a script applied on an Online retail data (available at: https://archive.ics.uci.edu/ml/datasets/online+retail#). The tests in the example serve to inform marketing strategy in determining relevancy of marketing spend, opportunities for product bundling (& alike) and messaging per segment. The method utilizied for determining the customer's value is RFM.

customer_segmentation_dbscan

This is a customer segmentation project that utilizes DBSCAN

data-science-project-customer-segmentation-in-r

This project aims to develop a strategy to segment the customers based on selected KPI (Key Performance Indicators) in order to yield more revenue for the company. This project also gives an insight of the behavioral pattern of customers and hence giving the company, an access to promote better offers for different kinds of customers. Such projects are commonly used by Telecom, Credit Card Banking, Health, Insurance, Car Manufacturing or any kind of product companies to get to know the spend patterns of the customers.

go

The Open Source Data Science Masters

hands-on-data-science-for-marketing

Hands-On Data Science for Marketing, published by Packt

html-project-

hu_apa

instacrawlr

Crawl public Instagram data using R scripts without API access token. See InstaCrawlR Instructions.pdf

item_recommender

This is an item recommender for movies built in Python, utilizing Bayesian average.

ivsta

katacoda-scenarios

Katacoda Scenarios

marketing-analytics-retention

This project is a replicaiton of marketing analytics project by Luis Noguera (link: https://rpubs.com/lnoguera/Marketing-Analytics-Metrics) It is a script applied on an Online retail data (available at: https://archive.ics.uci.edu/ml/datasets/online+retail#) and it serves to inform marketing strategy in mapping opportunities for marketing growth/users retention.

nlp_tweetdisasterdetection

Assignment for NLP class to classify tweets

portia

Visual scraping for Scrapy

pymc-resources

PyMC educational resources

r-marketing-analysis-packages

A list of R Packages for marketing tools & analysis

r-scripts

Examples of R scripts found around the web.

ralger

ralger makes it easy to scrape a website. Built on the shoulders of titans: rvest, xml2.

retentioneering-tools

Retentioneering: product analytics, data-driven customer journey map optimization, marketing analytics, web analytics, transaction analytics, graph visualization, and behavioral segmentation with customer segments in Python. Opensource analytics, predictive analytics over clickstream, sentiment analysis, AB tests, machine learning, and Monte Carlo Markov Chain simulations, extending Pandas, Networkx and sklearn.

rethinking

Statistical Rethinking course and book package

rladies-web-scraping

robotstxt

robots.txt file parsing and checking for R

search-terms-google-trends

sisifor

statistical_rethinking

Notes (mostly in Macedonian) from our reading of Statistical Rethinking by Richard McElreath