cosmicbaba's Stars
xizhengszhang/Leetcode_company_frequency
Collection of leetcode company tag problems. Periodically updating.
Alex-Lekov/AutoML_Alex
State-of-the art Automated Machine Learning python library for Tabular Data
getsanjeev/compression-DCT
Implementation of Image compression using DCT
AlakanandaGiridhar/Analytics-in-Financial-Services
Project on improving customer engagement levels in credit cards using recommendation system (collaborative filtering), market basket analysis and clustering (customer segmentation)
Aseem-Mittal/ANALYZE-JOANN-FABRIC-CRAFT-SALES-TO-IMPROVE-MARKETING-STRATEGY
Analyzed product spending (eCommerce) data for Joann Fabric & Craft to identify hidden customer segments across different categories Utilized techniques like Market Basket Analysis, Elasticity Modelling and Customer segmentation to improve targeting strategies with extensive profiling
Kaiiser7/Customer-Segmentation-using-K-Means-Clustering-Machine-Learning-with-Python
This data set is created only for the learning purpose of the customer segmentation concepts , also known as market basket analysis . I will demonstrate this by using unsupervised ML technique (KMeans Clustering Algorithm) in the simplest form. Content You are owing a supermarket mall and through membership cards , you have some basic data about your customers like Customer ID, age, gender, annual income and spending score. Spending Score is something you assign to the customer based on your defined parameters like customer behavior and purchasing data. Problem Statement You own the mall and want to understand the customers like who can be easily converge [Target Customers] so that the sense can be given to marketing team and plan the strategy accordingly.
robnix74/Marketing-Market
A collection of projects tackling the different fronts of marketing analytics such as churn prediction, customer lifetime value, customer segmentation and market basket analysis.
Suji04/computerscience
Free tech resources for faculty, students, and dev advocates for use in computer science courses, workshops, and hackathons.
waizhen/E-commerce_Clustering_Apriori
This project performs customer segmentation and market basket analysis by applying unsupervised learning techniques such as Clustering and A-Priori algorithms to analyze and extract insights from historical customer purchasing behaviors.