smb-h/breast-cancer-patterns-association-rule-mining

Breast Cancer Pattern Recognition through Association Rule Mining

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beerda/nuggets

R package for searching of patterns in subspaces described with elementary conjunctions

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LipunKumarDalai/Health-Care-Model

This model helps users identify potential diseases based on their current symptoms. It also recommends additional related symptoms to monitor and provides precautionary measures, using insights from past symptom patterns.

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higorfct/Recommender-System

Creating an Product Recommender System with Apriori and FPGrowth.

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almondmilkandavocad0s/CSCE-874-data-mining-HW2

Implementation of Association Rule Mining concept in Machine Learning, which is used for applications in Data Mining

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madhurimarawat/Intelligent-Data-Analysis

This repository contains data analysis programs in the Python programming language.

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Montasir-Rahman/D-Tree-Algorithm

An implementation of the D-Tree algorithm, a novel and efficient Association Rule Mining (ARM) technique that prioritizes generating relevant and accurate patterns over traditional methods.

Language: Python - Size: 8.73 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

KyleCarlo/Rule-Mining-Spotify

A data mining project applying association rule learning to Spotify tracks data.

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omidnaeej/Data-Mining

This repository contains the homework exercises from my Data Mining course. Fall 2024

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firefly-cpp/NiaARM

A minimalistic framework for Numerical Association Rule Mining

Language: Python - Size: 44.1 MB - Last synced at: 7 days ago - Pushed at: 3 months ago - Stars: 19 - Forks: 9

firefly-cpp/uARMSolver

universal Association Rule Mining Solver

Language: C++ - Size: 895 KB - Last synced at: about 2 months ago - Pushed at: 8 months ago - Stars: 16 - Forks: 11

fatihsen20/Frequent-Mining-Algorithms

"Frequent Mining Algorithms" is a Python library that includes frequent mining algorithms. This library contains popular algorithms used to discover frequent items and patterns in datasets. Frequent mining is widely used in various applications to uncover significant insights, such as market basket analysis, network traffic analysis, etc.

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jonahdhadlock/aprioriAlgorithm

Attempt at Association Mining: Apriori Algorithm

Language: Python - Size: 866 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

AkshaySyal/Association-Rule-Mining

This project involved developing a Python program to convert kosarak.dat itemset data into a sparse ARFF format, subsequently loading the generated file into Weka for association rule mining using the FP-Growth algorithm, and analyzing the performance of these conversion and mining steps.

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David-Langat/Machine-Learning-at-Scale

Java-based data mining project leveraging Weka and SPMF to implement association rule mining, predictive modeling, and text classification.

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IFRI-AI-Classes/ifri_mini_ml_lib

A minimalist machine learning library built from scratch by IFRI AI students to explore and understand core ML algorithms.🇧🇯

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smb-h/heart-disease-association-rule-mining

Analyzing heart data via association rules

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shubhro2002/Market-Basket-Analysis

Using different Association Rule Mining Algorithms to establish rules between item(s) from a transactional data. 3 different algorithms were used to generate itemsets and generate candidate rules from them based on certain metrics. Link to the dataset is given below.

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ashishpatel26/Market-Basket-Analysis

Association rule mining is a technique to identify underlying relations between different items.

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kbzh2558/Food_Combo_Optimization

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Ehsan-Behzadi/HealthCare_Insights_Association_Rule_Mining_for_Stroke_Risk_Factors

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aelmah/Data-Mining

Data Mining Projects

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CyprianFusi/market-basket-analysis-and-customers-segmentation

Data mining, market basket analysis and customers segmentation

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dkavargy/ESCOPlus

Open-source framework designed to enhance the ESCO taxonomy

Language: Python - Size: 240 KB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 4 - Forks: 0

avrtt/retail-upselling

A pipeline for market basket analysis aimed at identifying product associations to optimize retail promotions and bundle deals using SQLite, mlxtend & D3.js

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AdityaSreevatsaK/Suggestify-RecommendationSystems

Suggestify-RecommendationSystems is a dedicated repository for implementing and experimenting with traditional recommendation system techniques. It covers collaborative filtering, content-based methods, and hybrid approaches, focusing on practical and scalable solutions for personalised recommendations across various domains.

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PhanChenh/AssociationRule_Adventurework_SQLProject

Project Title: Analyzing AdventureWorks Dataset with Association Rule Mining in SQL (2011-2014)

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5ss90/Market_Basket_Analysis

A data mining project analyzing Instacart's 3 million grocery orders to uncover customer shopping patterns and product associations. Using market basket analysis and the Apriori algorithm, the project reveals key insights about shopping behavior, product combinations, and temporal patterns, providing valuable recommendations for retail strategy

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Relostar-Devil/Machine-Learning-Algorithms

Supervised and Unsupervised Machine Learning Algorithms.

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firefly-cpp/NiaARM.jl

Numerical Association Rule Mining in Julia

Language: Julia - Size: 559 KB - Last synced at: 2 months ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 2

unlv-evol/roles-smells-metrics-package

Empirical Investigation of the Relationship Between Design Smells and Role Stereotypes

Language: Java - Size: 294 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

Hamid-Rezaei/Data-Mining

This repository contains code and solutions for the Data Mining project, which applies various techniques and methods to different datasets. The project covers data preprocessing, dimensionality reduction, regression, classification, and association rule mining.

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victoria-carvalho-02/Association-Rules-for-Market-Basket-Analysis

Exploratory Data Analysis on Bakery Transactions - Use of the Apriori algorithm for frequent itemset mining, and then use the results of the Apriori algorithm to generate association rules to find interesting relationships in our data.

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mrunmaim16/CSE-5334-Programming-Assignments

Programming assignments completed for course CSE - 5334 Data Mining under Professor Dr. Marnim Galib.

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Sriram-infohub/Market-Basket-Analysis-and-Recommendation-System

Recommendation system using ML

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seby-sbirna/Coronary-Heart-Disease-Prognosis-and-Diagnosis-using-Machine-Learning-techniques

This repository contains the three-part capstone project made for the DTU Data Science course 02450: Introduction to Machine Learning and Data Mining

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kkrusere/Market-Basket-Analysis-on-the-Online-Retail-Data

The project dives into transaction records of an online retail business to uncover hidden relationships between products. The overall goal is a data-driven approach to enhance the customer shopping experience, improve loyalty, boost profitability, tailor marketing strategies, and optimize inventory management via strategic business decisions.

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roniantoniius/Recommender-System-for-Indonesia-s-Stationery-Shop

SMART (Sistem Rekomendasi Produk Alat Tulis Dan Peralatan Kantor) dirancang untuk membantu toko alat tulis dan perlengkapan kantor meningkatkan efektivitas promosi produk dengan memberikan rekomendasi berbasis data transaksi terkini.

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walidbosso/R_Data_mining

Extract knowledge from a data using different techniques, including Association Rules Hierarchical Agglomerative Clustering (HAC) K-means Clustering Decision Trees

Language: R - Size: 9.75 MB - Last synced at: 7 months ago - Pushed at: almost 2 years ago - Stars: 2 - Forks: 0

Nishadleo94/Thesis

Developing a Recommender System for Customers in a Scan and Go store using Apriori Algorithm in Market Basket Analysis

Language: R - Size: 30.4 MB - Last synced at: 3 months ago - Pushed at: almost 7 years ago - Stars: 3 - Forks: 3

krishcy25/MarketBasketAnalysis-AssociationMining

This repository focuses on building Association rules (Market Basket Analysis) using Support, Confidence, Lift that gives insights on which products go together in the cart of customer's shopping

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Saeedanbarimoghadam/Customer-Segmentation-and-Behavior-Analysis

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evelinesurbakti/Optimizing-Retail-Strategy-based-on-the-Pattern-of-Products-in-Groceries-Transactions

What kind of relationship of product that we have in the UK and Ireland wholesalers? How can that information be used to help business decisions making? You can find the answers in this repo.

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ethanvillalovoz/Analyzing-YouTubes-Trending-Page

Final Project for Cpt_S 315 at Washington State University.

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kumareshpv/Credit-Score-Classification

This project involves classifying credit scores and mining association rules using a dataset with credit-related customer information. It includes data cleaning, preprocessing, exploratory data analysis (EDA), correlation analysis, addressing class imbalance, building machine learning models, and mining association rules.

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shimonyagrawal/BU-MET-AD699-Data-Mining

This repository contains coursework for the Data Mining course in the MS Applied Business Analytics program at Boston University.

Language: R - Size: 2.98 MB - Last synced at: 10 months ago - Pushed at: about 5 years ago - Stars: 1 - Forks: 1

shimonyagrawal/Association-Rule-Mining-for-Instacart

This repository contains coursework for the Market and Economic Research and Analysis course in the MS Applied Business Analytics program at Boston University.

Size: 8.35 MB - Last synced at: 10 months ago - Pushed at: over 4 years ago - Stars: 2 - Forks: 4

larakaracasu/Association-Rule-Extractor

An association rule extractor for 2023 NY Complaint Data.

Language: Python - Size: 91.8 KB - Last synced at: about 1 year ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

victor-malheiro/association_rules_knime

Analysis of a dataset from a supermarket containing products from transactions over one month, the month of February, using market basket techniques.

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BillaAbhi258/Financial-Services-Recommendation-System

A ML based recommender system that deals with generating personalized recommendations to customers

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SohelRaja/Customer-Churn-Analysis

Implementation of Decision Tree Classifier, Esemble Learning, Association Rule Mining and Clustering models(Kmodes & Kprototypes) for Customer attrition analysis of telecommunication company to identify the cause and conditions of the churn.

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farzeennimran/Apriori-algorithm

Apriori Algorithm for Association Rule Mining

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stsibikov/AI-technologies-in-economic-analysis

Прикладной курс, посвященный спецификации и реализации ML моделей. Другие темы курса включают изучение ассоциативных правил и проблемы оптимизации. Курс сфокусирован на теории машинного обучения.

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Wilfrida-Were/Market-Basket-Analysis

Market Basket Analysis

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ninadpatil09/Sales-Market-Basket-Analysis

An overview of how to perform Sales Market Basket Analysis using PySpark, focusing on the steps from data preprocessing to association rule mining. It is a method used by retailers to uncover patterns in customer purchasing behavior, involves analyzing the items that customers frequently buy together and associations between products

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remykarem/apriori-rs

Apriori for association rule mining with Python bindings 🦀🐍

Language: Rust - Size: 6.59 MB - Last synced at: 5 months ago - Pushed at: about 4 years ago - Stars: 11 - Forks: 1

PratikBharadwaj/Efficient-Market-Basket-Analysis-using-Hive-and-the-Apriori-algorithm

Here we are performing real time market basket analysis using hive for dynamic updating data

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Rahafzsh/DataMiningTasks

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Joe-Wehbe/CSC461

Projects of the Introduction to Machine Learning course

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TechLeoo/Market-Basket-Analysis---E-Commerce-Store--Deep-Analysis-

This in-depth market basket analysis goes through a complete project cycle towards extracting valuable insights that the business can implement allowing them to scale. From preprocessing the data, to exploratory data analysis, association rule mining, interpretation and insights, and recommendations. This project was made to tackle these problems.

Language: Python - Size: 550 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

gurdalertek/streaming-video-platforms

R code to analyze streaming video platforms (code developed by Maitha Almemari and Mariam Almuhairi)

Language: R - Size: 675 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

damaniayesh/Analytics-in-Ecommerce

The project offers RFM segmentation, analyzing Recency, Frequency, and Monetary value. These metrics are vital for understanding customer behavior, influencing both retention and lifetime value.

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ais04134/hyperv-hadoop-spark-cluster

Hadoop Ecosystem - 대규모 빈발 패턴 마이닝을 위한 하둡 클러스터 환경 구축

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PranjalGupta2199/crime-analysis-report

Data Mining (CS F415) | Research Project

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AIdjis/FP_Growth_Algorithm

implementation of fp_growth algorithm using python3

Language: Python - Size: 4.88 KB - Last synced at: over 1 year ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 0

faraday/borgelt

Mirror of `apriori`,`fpgrowth` and `sequoia` from `Christian Borgelt`

Language: C - Size: 479 KB - Last synced at: over 1 year ago - Pushed at: over 7 years ago - Stars: 0 - Forks: 0

Raghavendra0827/Market_Basket_Analysis

This project is a Market Basket Analysis App that analyzes customer purchase patterns to generate association rules and offer personalized product recommendations.

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danieljosephraj/Suven-Coding-Internship

Online Coding Internship By Suven Consultants & Technology. During this Internship, I have worked on projects related to Data Analytics, Machine Learning, NLP and Association Rule - Mining.

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apoorvadudani/Market-Basket-Analysis-Using-Supermarket-Retail-Data

I use R to analyze shopping transaction data, identify which supermarket items are frequently purchased together using association rule mining and the strength of those relationships, visualize the findings, and evaluate potential profit margins for different items.

Language: R - Size: 46.9 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

dsvirenpai/Association_Rule_Mining

Using Customer Buying Patterns to Improve Warehouse Layout

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Mickeyo0o/MoviesAssociationRuleDataMining

Language: Jupyter Notebook - Size: 1.75 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

xavierfactor/Banking-Association-Rule-Mining

ARM and Market Basket Analysis using SAS Enterprise Miner

Size: 765 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

Solfty2/Association_Rule_Learning

in this section we will be association rule learning on online_retail_ıı dataset

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tohid-yousefi/Association_Rule_Learning-Intro

in this section will be association rule learning on online_retail_ii dataset

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oscarlee711/machine-learning-association-rule-mining

This project is to use machine learning to find out the association in grocery order transactions and generate the learned association rule accordingly.

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williamagyapong/data-mining-projects

Houses a series of projects I worked on for a course in Data Mining that I took in my Ph.D. Data Science program at UTEP in the Fall of 2022. Covers areas such as Regularized Logistic Regression, Optimization, Kernel Methods, PageRank, Kernel PCA, Association Rule Mining, Anomaly Detection, Parametric/Nonparametric Nonlinear Regression, etc.

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guptaanmol184/big-data-lab

Analytics and Systems of Big Data

Language: Python - Size: 9.52 MB - Last synced at: 3 months ago - Pushed at: over 6 years ago - Stars: 15 - Forks: 8

Oklein1/Association-Miner-API

Explore the Association Miner API, a lightweight and versatile machine learning tool designed for effortless integration and predictive insights. Uncover valuable patterns in diverse datasets, from supermarket transactions to online user behavior, with the power of association rule learning at your fingertips.

Language: Clojure - Size: 581 KB - Last synced at: 26 days ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

ketanmakde/Association_Rule_Learning-

Association Rule Learning discovers valuable patterns in retail datasets, optimizing product placement and informing targeted marketing. Its broad applicability extends beyond retail, aiding decision-making across various domains through meaningful data insights

Language: Jupyter Notebook - Size: 188 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

AlfaBetaBeta/Association-Rules

Association rule mining and visualisation on a sample dataset of an online teaching platform.

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anujahlawat/movies-association_rule_mining

practice 6.2 | association rule mining | Apriori algorithm | movies dataset

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anujahlawat/book_dataset-association_rule_mining

practice 6.1 | association rule mining | Apriori algorithm | book dataset

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Manash-git/Causes-of-Smoking-using-Association-Analysis

This is a project of finding a strong association within attributes on a Smoking Dataset.

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Manash-git/Market-Busket-Analysis-using-Association-Rule-Mining

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talitacgs/Market_basket_analysis_with_Apriori

Market basket analysis using Apriori algorithm and association rules

Language: Python - Size: 256 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

kaylaisya/MarketBasketAnalysis

Implementation of Apriori Algorithm on Market Basket Data with Rstudio

Language: R - Size: 521 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

nikosp2196/mrs

Association Rules & Data Streams

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nihitparikh/Predictive-Analysis-for-Stated-Consumer-Preference-Data-for-Monitor-Industry

This repository includes my marketing/data analytics project on monitor dataset that includes Maximum Likelihood Model, Market Simulation, Cluster Analysis, Market Basket Analysis, Association Rule Mining, Hierarchical Bayesian Regression Model, R script code.

Language: R - Size: 9.29 MB - Last synced at: almost 2 years ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

quadrantofsola/Association-Rule_Mining

Using R to Perform Market Basket Analysis on given retail dataset to determine 100% confidence

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mayorofdata/DATA-475-Final-project

The project is aimed at creating four (4) reports that will examine different aspect of data analytics using Python as the primary tool

Language: Python - Size: 6.84 KB - Last synced at: about 2 years ago - Pushed at: about 5 years ago - Stars: 0 - Forks: 0

MinahilSadiq1/Association_Rule

Applying association rule mining to find maximal frequent item sets and association rules.

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juhijj/Covid-19-Analysis

Analysis of Covid-19 date using machine learning models - Decision Tree, Logistic Regression, Neural Networks, Predictive Mining, Association mining, Clustering.

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FatemehGholamzadeh/Data-Mining-Course-Assignments

Data Mining Course Assignments - Fall 2019

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BinhPhan13/apriori

Language: Python - Size: 283 KB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

PRiauwindu/Analytics-Occupation-Deep-Dive

Deep dive analysis into analytics-related career and occupations. Alternate website: https://colab.research.google.com/github/PRiauwindu/Analytics-Occupation-Deep-Dive/blob/main/United%20States%20Analytics%20Occupations%20Deep%20Dive%20.ipynb#scrollTo=ac95be20

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JCGCosta/AssociationRulesInRoadAccidentData

This Project is based on my scientific initiation project.

Size: 1.15 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 1 - Forks: 0

nsb700/association_mining_demo

Association Mining between Diagnoses and Medical Services

Language: Python - Size: 683 KB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

ManojPrabhakar/Mining-Association-Rules-From-Semantic-Data

Finding Association Rules from Semantic web data using Spark framework

Language: Scala - Size: 241 KB - Last synced at: about 2 years ago - Pushed at: about 5 years ago - Stars: 0 - Forks: 0

khusheekapoor/DataAnalyticsProjects

Mini Projects on Data Analytics including Exploratory Data Analysis, Recommendation Systems, Association Rule Mining, Sentiment Analysis, Time Series Analysis

Language: Jupyter Notebook - Size: 1.35 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

Joe-Wehbe/market-mining

Machine learning model that predicts which customers will buy a bank investment plan based on their demographic information

Language: Jupyter Notebook - Size: 18.8 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0