Association Rule Mining which is a rule based machine learning method for discovering interesting relations between variables in large databases is implemented with 2 algorithms (1. Apriori 2.FP Growth).
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Updated
Mar 30, 2018
Association Rule Mining which is a rule based machine learning method for discovering interesting relations between variables in large databases is implemented with 2 algorithms (1. Apriori 2.FP Growth).
Working AprioriAlgorythm (market basket Anaylasis)
Code from seminars and homework, second year in the university
Using the Apriori algorithm of the Arules package throughout this project to get analytsis
Customer Segmentation Analysis, developed using Python, by using Clustering Algorithm for the purpose of dividing the customers into groups based on the similarity in different ways that are relevant to marketing such as location, items, spending score, salary and accordingly identify customers’ behavior and interests and focus on them for futur…
Implementation of Apriori Algorithm in Python
Market Basket Analysis, Portugal based, on TripAdvisor Top 100 Tourist Attractions dataset from January 1, 2019 to August 21, 2021.
R Market Basket (Apriori and Arules) Analysis and Visualization
This project analyzes sales data to answer interesting business questions and provide insights to the management team including market basket analysis
Miscellaneous functions used in our online R courses
Market basket analysis is a data mining technique that helps retailers and other businesses understand the purchasing patterns of their customers.
Market Basket Analysis using ECLAT Algorithm
The project provides the Apriori algorithm and Market Basket Analysis (MBA) to analyze transactional data, generating personalized recommendations based on Support, Confidence, and Lift metrics to enhance customer experience and boost sales.
Data Science from the very basics along with some projects
Data Analytics in the E-Commerce Industry [Volume 3]
Ten Retail Data Analytics Projects, Heavy Focus on ML. Emphasis on consumer behavior.
Data Science and Machine Learning in Python
A customer segmentation and product recommendation system using RFM Analysis, Market Basket Analysis & Item Based Collaborative Filter
Decision support system to predict and correct prescription errors
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