Determining the important factors that influences the customer or passenger satisfaction of an airlines using CRISP-DM methodology in Python and RapidMiner.
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Updated
Sep 1, 2023 - Jupyter Notebook
Determining the important factors that influences the customer or passenger satisfaction of an airlines using CRISP-DM methodology in Python and RapidMiner.
CRISP-DM Project of Udacity Data Scientist Nanodegree
The aim of this project to retail analysis with Walmart data.
This project is about predictive maintenance with machine learning. It's a final project of my Computer Science AP degree.
Predict if SpaceX Falcon 9 first stage will land successfully after rocket launches.
Over 10 years of hourly energy consumption data from PJM in Megawatts
A ready to use template for the CRISP-DM data science workflow
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
This is a sample for a Data Mining project following CRISP-DM methodology
This repository contains the scripts and notebooks for my lecture "Applied Programming" at FOM in summer term 2020.
Forecast sales using store, promotion, and competitor data
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.
Data processing, Model creation and App deployment of Vesper Commit Severity Predictor. Trained with data from the Technical Debt Dataset.
Analyze Seattle AirBnB homes data.
Case study for dataset (Violence in USA, 90`). Combination of socio-economic data with FBI stats. Models: PCA, Clustering, Multiple regression. Methodology CRISP DM
Fully reproducible code for Medium article
Elaborar modelos estatísticos, criar algoritmos, solucionar problemas e expandir a estratégia de negócios.
Building Personalised Recommendations with Machine Learning for Financial Services Marketing: A Collaborative Filtering Approach
Udacity project related to the exploration and usage of CRISP-DM process to analyze and visualize results related to Airbnb accomodations in Milan area
Exchange Rate Prediction Model following the CRISP-DM methodology and presented on Jupiter Notebook.
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