From Local Training to Live API: A Minimal, Reliable CI/CD Workflow
Goal: Train your ML model on your local machine, package
Data Science
[XAI] SHAP vs. LIME in XAI: A Deep, Practical Comparison for Real-World ML
TL;DR: LIME is fast, local, and great for quick
[Review] Deep learning models for real-life human activity recognition from smartphone sensor data
Paper reviewed: García-González, D., Rivero, D., Fernández-Blanco, E., & Luaces,
[Review] Real-time Human Activity Recognition from Accelerometer Data using Convolutional Neural Networks
Article reviewed: Andrey Ignatov (2018), “Real-time human activity recognition from
[Review] LSTM-CNN for Human Activity Recognition
Source reviewed: Xia, Huang, & Wang (2020), “LSTM-CNN Architecture for
Docker Project I setup for my Home Lab in 2025
1 - Ghost
2 - MLflow
3 - Proxmox
4