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
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
Classification of hotel reviews on positive and negative class by using sentiment analysis
Instructions and application for Knime Analytics Platform's headless execution.
Machine Learning project for course Big Data with Machine Learning delivered by MDH
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.
Projects done on KNIME workbench software and Tableau
Workflow example used for Medium article "Extending KNIME Python Integration with Plotly Express and Kaleido".
KNIME nodes or digital signal processing
This project involves the implementation of RFM (Recency, Frequency, Monetary) analysis, a powerful technique in customer segmentation and targeting
Analysis of a dataset from a supermarket containing products from transactions over one month, the month of February, using market basket techniques.
These folders hold a repository of KNIME workflow for general and specific problems.
Presenting an effective tool to automatically classify Twitter users into pre-defined tribes upon their Twitter pages’ details.
📌 The nodes provide users with CRUD capabilities to work with Neo4j database over BOLT protocol.
Use of different classification models to detect credit card frauds
Python-based KNIME node implementing Word2Vec algorithms with Tensorflow
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