Predict Bank Customer Churn using ANN

A fruit classifier trained using various algorithms (ANN, CNN, and Transfer Learning with ResNet50), with results and performance evaluation of each model, to control the Detecto robot in pointing to the correct fruit based on camera feedback.

University of Caldas course for Intelligent Systems II. Compilation of classes given by Prof. Jorge Alberto Jaramillo and more.

Implemented ANN and CNN models for classifying handwritten digits from the MNIST dataset achieving 97.51% accuracy with ANN and 98.71% accuracy with CNN. Included data preprocessing, visualization, and performance comparison.