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Name: Ivana Stojkovska
Type: User
Bio: Analyst & Front-end engineer; Building responsive web solutions/apps with HTML5, CSS, JavaScript and React; implementing analytics strategies and exploring data
Twitter: _ivst
Name: Ivana Stojkovska
Type: User
Bio: Analyst & Front-end engineer; Building responsive web solutions/apps with HTML5, CSS, JavaScript and React; implementing analytics strategies and exploring data
Twitter: _ivst
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.
Uplift modeling and causal inference with machine learning algorithms
RQ: What makes some climate change mitigation policies and measures (PaMs) more successful than others in GHG (greenhouse gases) emission reductions in Europe?
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- 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.
This is a customer segmentation project that utilizes DBSCAN
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.
The Open Source Data Science Masters
Hands-On Data Science for Marketing, published by Packt
Crawl public Instagram data using R scripts without API access token. See InstaCrawlR Instructions.pdf
This is an item recommender for movies built in Python, utilizing Bayesian average.
Katacoda Scenarios
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.
Assignment for NLP class to classify tweets
Visual scraping for Scrapy
PyMC educational resources
A list of R Packages for marketing tools & analysis
Examples of R scripts found around the web.
ralger makes it easy to scrape a website. Built on the shoulders of titans: rvest, xml2.
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.
Statistical Rethinking course and book package
robots.txt file parsing and checking for R
Notes (mostly in Macedonian) from our reading of Statistical Rethinking by Richard McElreath
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.