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Projects in Awesome Lists tagged with crisp-dm

A curated list of projects in awesome lists tagged with crisp-dm .

https://github.com/cbozan/graduation-project

Graduation project categorizes popular search phrases using Python and Spark and presents them on a website to inspire creators.

crisp-dm data-cleaning data-science machine-learning nlp nlp-machine-learning spark spark-mllib

Last synced: 23 Nov 2024

https://github.com/mafda/seattle_airbnb_data_analysis

This repository contains a comprehensive analysis of the Seattle Airbnb dataset, conducted using the CRISP-DM (Cross Industry Standard Process for Data Mining) methodology.

crisp-dm data-analysis data-science jupyter-notebook pandas-python seattle-data

Last synced: 06 Mar 2025

https://github.com/manojpatra1991/data-scientist-nanodegree

Project submissions for the Udacity's Data Scientist Nanodegree

crisp-dm data-science

Last synced: 11 Apr 2025

https://github.com/r-gg/bi-assignments

Solutions to the two practical assignments of the TU Wien Business Intelligence course (WS2022).

crisp-dm jdbc mysql pentaho-data-integration pentaho-schema-workbench pentaho-spoon sklearn

Last synced: 14 Mar 2025

https://github.com/jen2004/cs-capstone-project-a-classification-model-for-penguin-species-identification

This is a machine-learning tool for the fictional World Penguin Conservation Organization (WPCO) identifies penguin species using bill length and depth measurements. Built with the Palmer Penguins Dataset in a Jupyter Notebook on Google Colab, it delivers accurate, efficient, and non-invasive predictions, achieving 97% accuracy.

computer-science crisp-dm jupyter-notebook machine-learning python

Last synced: 04 Mar 2025

https://github.com/baslia/crisp_dm

Framework to implement CRISP-DM methodology

analytics business-intelligence crisp-dm data-mining data-science

Last synced: 27 Feb 2025

https://github.com/srking501/futurelearn_mooc

A summative coursework for CSC8631 Data Management and Exploratory Data Analysis

crisp-dm data-mining data-preprocessing data-science data-visualization deployment eda exploratory-data-analysis

Last synced: 23 Mar 2025

https://github.com/anag0es/projetos-ml

Este é um lugar onde guardo vários projetos para entender como funciona a aprendizagem de máquina. Cada projeto é uma forma de praticar o que estou aprendendo nos meus estudos.

artificial-intelligence crisp-dm data-science deep-learning learning machine-learning neural-network numpy pandas prediction-model python

Last synced: 25 Mar 2025

https://github.com/jonasaacampos/analise_pix_spark

Análise de transações fraudulentas com base em uma amostra de dados históricos

crisp-dm machine-learning pix python spark

Last synced: 27 Feb 2025

https://github.com/touradbaba/model_engineering

This repository hosts a machine learning tool for breast cancer classification, emphasizing model interpretability. It is deployed on Streamlit Cloud, with a PostgreSQL database for tracking results and data drift, and includes an automated retraining workflow.

crisp-dm datadrift deployment-automation docker github-actions interpretable-machine-learning lime machine-learning mlops model-monitoring postgresql python shap

Last synced: 20 Feb 2025

https://github.com/subhashpolisetti/crispdm-semma-kdd-workflows

This repository demonstrates three data mining methodologies applied to various real-world datasets: CRISP-DM (Weather Analysis), KDD (Social Media Ads Analysis), and SEMMA (Spotify Recommendation System). Each project includes data exploration, preprocessing, modeling, and evaluation steps, along with comprehensive documentation, supporting files,

clustering-algorithm crisp-dm kdd latex-template machine-learning numpy pandas random-forest research-paper semma

Last synced: 26 Mar 2025

https://github.com/jonasaacampos/crisp-dm

Checklist e anotações para entrega de projetos de machine learning.

crisp-dm data-mining data-science machine-learning python

Last synced: 27 Feb 2025

https://github.com/kfrural/customer-churn-prediction

Customer churn prediction using machine learning. The project follows CRISP-DM and KDD methodologies, including data preprocessing, feature engineering, modeling, and evaluation. It also features an interactive dashboard for visualizing results.

crisp-dm data jupyter kdd python

Last synced: 06 Apr 2025

https://github.com/dyzio18/dm-case-study-violence

Case study for dataset (Violence in USA, 90`). Combination of socio-economic data with FBI stats. Models: PCA, Clustering, Multiple regression. Methodology CRISP DM

clustering crisp-dm data-mining pca r regression-models violence

Last synced: 16 May 2025