In this repository you can find the jupyter notebooks used to take part in the competitions created for the Artifical Neural Networks and Deep Learning exam at Politecnico di Milano.

Hi There! This is the python code for an 8 input XOR Logic Gate that is implemented into a Neural Network. The neural network in question is the McPitt Artificial Neural Network , which was one of the first Neural Networks ever created. I am using python here and the environment for it is Jupyter Notebook.

A collection of notebooks containing code in python which will later be used in machine learning to create models for Artificial Intelligence. This projects aims to gather skills and knowledge in python and machine learning to secure an internship at either ICT Kenya or Safaricom and later progress to Oracle offices in Kenya

Python algorithm used to solve Travel Salesman problem based on the Artificial Intelligence course taught by prof. L. Castellanos. Coded and written by Yithzak Alarcón based on Artificial Intelligence course. In partnership with C. Sierra. NOTE: Algorithms are in pure Python format created for Jupyter Notebook.

To convert any Math's Equation or Model or any data set that has some logical and Scientific relation is now easy to convert in to an Artificial Intelligent model. This Repo Contains the Jupyter Notebook (COLAB) training file along with the python file to create train and test data

This Jupyter Notebook was an assignment in my Artificial Intelligence Course (CS440). I took this course in Fall 2023. Dr. Michael Higgs (my professor) created the layout. This assignment was an introduction to Machine Learning using decision trees. Everything in the code cells and the final markdown cell are my work.