👩🏻‍🚀 13-DataMining: Clear, beginner-friendly explanations and hands-on resources on Principal Component Analysis (PCA) and Isolation Forest for Outlier Detection — designed to make unsupervised learning approachable for everyone. ✠💚✠

Creating a CNN model with HAM10000 dataset.

A project for prototype day of Bedu. Data analysis and development and training of a CNN model for skin cancer detection. Using R and Shiny fo GUI

A simple Arrythmia model using Physionet MIT-BIH Arrhythmia Database

📊 Explore data mining with this guide on Principal Component Analysis (PCA) and Isolation Forest for effective dimensionality reduction and anomaly detection.