Workflow for IMI project data collection and selection.
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Updated
Mar 29, 2022
Workflow for IMI project data collection and selection.
Use of different classification models to detect credit card frauds
Classification of hotel reviews on positive and negative class by using sentiment analysis
Pre-processing AutoML Component for classification tasks in KNIME.
This project involves the implementation of Market Basket Analysis, a powerful technique in retail analytics.
KNIME workflows for High Content Screening and High-Throughput Screening analysis
Workflow and script solutions of the 3 mini-contests of the Machine Learning course held by Carlo Sansone. Year 2023-2024.
This project creates RFM segmentation to understand retail customers' underlying buying patterns. Also, this project aims to generate recommendations for customised marketing strategies.
For this 2021/22 Machine Learning project @ University of Milano-Bicocca we developed a knime workflow
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.
Analysis of a dataset from a supermarket containing products from transactions over one month, the month of February, using market basket techniques.
Projet 7 du parcours de formation Data Analyst OpenClassrooms : Analysez des indicateurs de l'égalité femme-homme avec Knime
Sistemas Baseados em Similaridade
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.
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.
IST434 Big data analytics end of term paper
KNIME Automation & Scheduling
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