There are 3 repositories under crisp-dm topic.
This project is about predictive maintenance with machine learning. It's a final project of my Computer Science AP degree.
The aim of this project to retail analysis with Walmart data.
Determining the important factors that influences the customer or passenger satisfaction of an airlines using CRISP-DM methodology in Python and RapidMiner.
Over 10 years of hourly energy consumption data from PJM in Megawatts
This repository provides an online certification program in Data Science and Machine Learning offered by IBM and Coursera. The program covers topics such as data science methodology, data visualization, data analysis, statistical analysis, predictive modeling, and machine learning algorithms. The courses are hands-on and conducted on the IBM Cloud,
The current project provides a Machine Learning trained model that is able to classify the trait with maximum value of the Big Five Personality Test, given the answers of this one.
Predict if SpaceX Falcon 9 first stage will land successfully after rocket launches.
Walmart Store Sales Forecasting
A ready to use template for the CRISP-DM data science workflow
Graduation project categorizes popular search phrases using Python and Spark and presents them on a website to inspire creators.
CRISP-DM Project of Udacity Data Scientist Nanodegree
This is a sample for a Data Mining project following CRISP-DM methodology
Materials accompanying the Saxion AI Training sessions organised in 2021.
Bank Marketing Prediction. Binary Classsification
Data processing, Model creation and App deployment of Vesper Commit Severity Predictor. Trained with data from the Technical Debt Dataset.
Data mining project, about the rain situation in Australia
Understand data science on a 👶 fundamental level and its impact. Also, go through some 🧁 data analysis and visualization.
Project aim is to use machine learning for predicting the winner of Pokémon among player choices. Potential audiences are the general public interested in playing the game and company management.
This is a cookie-cutter for crisp-dm mainly on creating analysis and exploring. Further work will be to create a Data Science template aswell
Cardiovascular Legacy Data assignment using Crisp_DM & Python
This repository contains the scripts and notebooks for my lecture "Applied Programming" at FOM in summer term 2020.
Este projeto permitirá que a rede de supermercados compreenda melhor as interações entre clientes e funcionários, identificando oportunidades de aprimoramento no atendimento. Aumentando a satisfação do cliente e melhorando a eficiência
This project is a Flask web application that integrates with TensorFlow a CNN model to be able to give predictions of two classes: "Normal" and "Tuberculosis". The user can upload their photo to be able to process it and also have a contrast enhancement filter applied with CLAHE.
MTN Cote D'Ivoire technology upgrade evaluation and analysis.
Repositório pessoal da disciplina do Centro de Informática da UFPE (CIn - UFPE) IN1166 - Soluções de Mineração de Dados
Project submissions for the Udacity's Data Scientist Nanodegree
What we can learn from Sydney AirBnB data?
Forecast sales using store, promotion, and competitor data
Predict the car price in used vehicles listings from Craigslist.org
Prediction of the rank of a player given its statistic from the match
Building Personalised Recommendations with Machine Learning for Financial Services Marketing: A Collaborative Filtering Approach
Media Big Data Analysis using Spark & AWS EMR, Data Storytelling, Build ETL & Machine Learning Pipeline for NLP tasks, A/B Testing Design & Post-Analysis & Customer Targeting, build time series dashboard using Flask and Plotly, Recommendation System
Applying CRISP-DM methodology for predicting Loan Elegibility
Hotel customer segmentation project
Welcome to our GitHub repositories, where we showcase the dashboards featured in our portfolio. We hope these resources help you improve your visualization skills. Explore and take your projects to the next level! 🚀🔍
Welcome to our GitHub repositories, where we showcase the dashboards featured in our portfolio. We hope these resources help you improve your visualization skills. Explore and take your projects to the next level! 🚀🔍