Project notebook

Notebooks with various models for images recognition based on dices example

This repo contains a python notebook of CNN model (1D - Sequential) implementation on the publicly available schizophrenia dataset

Proyecto de Machine Learning, en Python, creado con Jupyter Notebook, donde con un DF de precios de cierre de Etherum, extraído de Kaggle, y un modelo tipo Sequential, es capaz de predecir precios futuros.

This notebook 📓 tackles predicting future movements 🤸‍♂️ from skeleton data 💀, crucial for applications like fall detection 🚨 or gesture recognition ✋. Leveraging deep learning 🧠, it preprocesses the dataset 🧹, trains a CNN model 🖥️, evaluates its accuracy ✔️, and generates predictions 📈 for submission 📨, all in a structured manner 📊.