In this project, a RFM model is implemented to relate to customers in each segment. Assessed the Data Quality, performed EDA using Python and created Dashboard using Tableau.
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May 23, 2021 - Jupyter Notebook
In this project, a RFM model is implemented to relate to customers in each segment. Assessed the Data Quality, performed EDA using Python and created Dashboard using Tableau.
Official implementation of our paper "Finetuned Multimodal Language Models are High-Quality Image-Text Data Filters".
This repository contains solutions to the 3 different tasks that must be performed during the data analytics virtual internship provided by KPMG via Forage.
Step-by-step exploratory movement data analysis protocol in a Jupyter notebook
🔍Your Data Quality Detector / Gain insight into your data and get it ready for use before you start working with it 💡📊🛠💎
Data-IQ: Characterizing subgroups with heterogeneous outcomes in tabular data (NeurIPS 2022)
Health Data Metrics (HDM) a Data Quality assessment Application.
🧼🔎 SelfClean revised versions of benchmark datasets for more reliable performance estimation.
SDQCPy is a comprehensive Python package designed for synthetic data management, quality control, and validation.
A function that automatically generates a Data Quality Report for your data
Collection of R scripts to test packages in conducting data quality assessments
Addressing Data Quality Challenges in Ambulatory Wrist-worn Wearable Monitoring Through Analytical and Practical Approaches
To provide Sales trend visibility on monthly, Quarterly and yearly basis.
KGHeartBeat is a community-shared open-source knowledge graph quality assessment tool to perform quality analysis on a wide range of freely available knowledge graphs registered on the LOD cloud and DataHub. Web-App: http://www.isislab.it:12280/kgheartbeat/
This project involves analyzing Sprocket Central Pty Ltd Data to help the marketing department unveil useful insights that could help them optimize resources allocation for targeted marketing
This project involves analyzing customer data for Sprocket Central Pty Ltd. The goal is to optimize the company's marketing strategy. We will assess data quality, target high-value customers, and develop a data-driven marketing plan. By leveraging customer data, we aim to provide valuable insights and recommendations to drive business growth.
Data quality, maturity and utility labelling tool for the EHDS (HealthData@EU)
Sprocket Central is medium size bike company which requires analytical insights regarding marketing strategy and which customers to target from both current and future customers. A final visualisation input needed to be given to get a sign-off to work further.
Qalita Public Packs
Data Quality Assessment for Industrial Data
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