Collecter des données en respectant le RGPD, Préparer des données pour analyse en respectant les normes internes entreprise, transférer des données vers une zone de préparation
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Updated
Apr 18, 2023
Collecter des données en respectant le RGPD, Préparer des données pour analyse en respectant les normes internes entreprise, transférer des données vers une zone de préparation
Classification of hotel reviews on positive and negative class by using sentiment analysis
Projects done on KNIME workbench software and Tableau
Scripts de traitement des données de contrat
Machine Learning project for course Big Data with Machine Learning delivered by MDH
Projet 7 du parcours de formation Data Analyst OpenClassrooms : Analysez des indicateurs de l'égalité femme-homme avec Knime
Repository including all the work done during internship about KNIME Deep Learning and comparing it's viability with Python as a simple Deep Learning platform. Original repository at <https://github.com/msf4-0/KNIME-Deep-Learning/tree/main> where I was a collaborator during my internship. Cloned this into my personal Git after internship ended.
This project aims to find the underlying buying patterns of the customers of an automobile part manufacturer based on the past 3 years of the Company's transaction data and hence recommend customized marketing strategies for different segments of customers.
Repositório do trabalho prático no âmbito da UC de Aprendizagem e Decisão Inteligentes (ADI) - Licenciatura em Engenharia Informática (LEI/MIEI) - Universidade do Minho (UMinho)
This project creates RFM segmentation to understand retail customers' underlying buying patterns. Also, this project aims to generate recommendations for customised marketing strategies.
K-Means cluster analysis conducted using KNIME and Tableau
Workflow example used for Medium article "Extending KNIME Python Integration with Plotly Express and Kaleido".
Preprocessing the ETH and UCY datasets
This project involves the implementation of RFM (Recency, Frequency, Monetary) analysis, a powerful technique in customer segmentation and targeting
These folders hold a repository of KNIME workflow for general and specific problems.
The project involves conducting a thorough analysis of Point of Sale (POS) Data for providing recommendations through which a grocery store can increase its revenue by popular combo offers & discounts for customers.
Wrkflows KNIME sviluppati nell'ambito del corso di Machine Learning del prof. Carlo Sansone, Università degli Studi di Napoli "Federico II", a.a. 2022-23
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