Collaborative Filtering based Recommender for books
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Updated
Feb 23, 2024 - Jupyter Notebook
Collaborative Filtering based Recommender for books
Zespół THE INDECISIVES
Association rule mining is a technique to identify underlying relations between different items.
Reading and Exploring Dataset in Jupyter or Google Colab using Python. Training the Apriori Model on the dataset. Viewing the results as a pandas dataframe (Apriori and Eclat)
Market Basket Analysis of Point of Sale data of a grocery store to generate recommendations to increase spends
Technologies and tools for big data analysis
From data preprocessing to deep learning
Using the apriori association rule learning algorithm to identify goods commonly associated and purchased together.
Wolfram Language (aka Mathematica) paclet for association rule learning.
By examining the products that customers purchase together, we will provide recommendations to similar shoppers. This is a data mining approach that can be used to enhance customer satisfaction and increase sales.
Find the Frequent Items Using Association Rules --> Apriori Algorthim
Association Mining Deployment as an API Web Application
This repository consists of the code files of th ML algorithms which I have implemented during the machine learning course.
unsupervised machine learning
This is a collection of different machine learning algorithms that I have been working on during my master's program show casing my knowledge of different ML algorithms
Market Basket Analysis on transactions information of a cafe using Associative Rule Learning/ Apriori
A small project on mining and analyzing the All-Night-Canteen, BITS Pilani dataset.
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