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Machine Learning Case study on customer segmentation and prediction of groups.
Customer base analysis is concerned with using the observed past purchase behavior of customers to understand their current and likely future purchase patterns. More specifically, as developed in Schmittlein et al. (1987), customer base analysis uses data on the frequency, timing, and dollar value of each customer's past purchases
Analytics for building Customer Journey Map in Ecommerce
Data Analytics Bootcamp final project. The idea was to apply what learned, so we figured to put in the shoes of a consultancy to help a hypermarket concerned about their mk campaigns effectiveness.
Examples of Data Science projects and Artificial Intelligence use cases
Demand forecast task with different approach and frameworks
Implementation of FPTree-Growth and Apriori-Algorithm for finding frequent patterns in Transactional Database.
Segmented customers based on Recency,Frequency & Monetary Value (RFM) metrics using K-MEANS clustering algorithm
Frequent Itemsets via Apriori Algorithm Apriori function to extract frequent itemsets for association rule mining We have a dataset of a mall with 7500 transactions of different customers buying different items from the store. We have to find correlations between the different items in the store. so that we can know if a customer is buying apple, banana and mango. what is the next item, The customer would be interested in buying from the store.
Web Scraping (also termed Screen Scraping, Web Data Extraction, Web Harvesting etc.) is a technique employed to extract large amounts of data from websites whereby the data is extracted and saved to a local file in your computer or to a database in table (spreadsheet) format.
Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.
Comprehensive Python Cheatsheet
Python Feature Engineering Cookbook, published by Packt
Customer Segmentation of Online Retail Customers
End-to-end automated pipeline in Python that forecasts weekly demand for products & recommends corresponding optimal prices for a retail chain (Machine Learning in sklearn, MIP optimization in Gurobi)
Recency, Frequency, and Monetary are three behavioral attributes and are quite simple, in that they can be easily computed for any database that has purchase history, and are easy to comprehend, yet very powerful in their predictive ability.
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.