This repository contains the scripts and notebooks for my lecture "Applied Programming" at FOM in summer term 2020.

Below is a link to the crisp DM methodology and python notebook

Exchange Rate Prediction Model following the CRISP-DM methodology and presented on Jupiter Notebook.

Este repositorio contiene los insumos (notebooks) generados para el proyecto de minería de datos Rank Los notebooks en la metodologia CRISP-DM (Cross-Industry Standard Process for Data Mining), paso a paso para cada fase del proyecto.

Ames Housing Market Analysis: ML & CRISP-DM. Predict Iowa home prices using Kaggle dataset. Apply data science techniques: cleaning, feature engineering, regression modeling. Ideal for aspiring analysts and ML enthusiasts. Includes Jupyter Notebook, blog, visualizations. #DataScience #MachineLearning #RealEstate

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.