This repository contains two directories in it, maze and wine_quality.
This directory contains a README file which explains the entire working of the program and a .py file which is the maze generation and solving algorithm.
This is more so an AI project as it does not involve machine learning in it at all.
This directory contains a README file which explains the entire working of the program, three json files which contain the best parameters for each of the three gradient boosting frameworks, a requirements file which has all the required libraries that need to be installed, a .pkl file which contains the previously trained AI to load in for another session, a .csv file which holds the entire database on which the program is being trained and finally a .py file which has the entire code for the ML model.
This is a ML project as it uses the given data and its outcome to predict the outcome of any new data provided to it.