Data Analytics Made Easy, Published by Packt
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Updated
Jan 30, 2023 - Jupyter Notebook
Data Analytics Made Easy, Published by Packt
Preprocessing the ETH and UCY datasets
This repository is built for KNIME-CGA Geospatial Project, and the goal is to build Python-based nodes for geospatial analysis in KNIME Analytic Platform.
KNIME Analytics Platform & SDK with Docker Container in X11 desktop
NodePit Runner – Workflows Around the Clock! Deploy, execute and monitor your KNIME workflows in the cloud or on-premises as easily as running them locally!
Projets du parcours Data Analyst OpenClassrooms
Prediction of Absolute Ligand-Protein Binding Affinity
KNIME Automation & Scheduling
Redfield Conformal Prediction Nodes 🎈
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
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
This is a project for the course "Machine Learning" - Master's degree in Data Science, University Milano-Bicocca
In this repo, I have the course contents of Knime Analytics For Data Science training, which will be given to Sigorta Bilgi ve Gözetim Merkezi by the cooperation of Academy Peak Information Technologies Training and Consultancy between 28 - 30 March 2023.
This project focuses on analyzing diabetes-related data and building predictive models using KNIME. The main objectives of the project include:
🪐 Makes the functionality of the spaCy library (https://spacy.io/) available in KNIME Analytics Platform.
Projet 7 du parcours de formation Data Analyst OpenClassrooms : Analysez des indicateurs de l'égalité femme-homme avec Knime
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.
Scripts de traitement des données de contrat
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