ECE @NTUA Artificial Intelligence

Laboratory 1: Search algorithms

1. Maze generation algorithms
2. Shortest path algorithms (A*, Dijkstra, Best First, Heuristic functions)
3. Shortest path algorithms performance comparison
4. Alpha-Beta Pruning
5. Interactive grids for the Shortest paths algorithms

Laboratory 2: Recommendation System with Prolog

1. Study of Metadata, Creation of the world and Prolog queries
2. Recommendation system based on the characteristics of a movie
3. User ratings, model training and movie rating forecasting

Laboratory 3: Recommendation System with Decision Trees

1. Set values
2. Rating based chart comparisons
3. Preprocessing values & CART Algorithm
4. CART Algorithm, Custom CART Algorithm & Decision Tree Algorithm comparison
5. Random Forest Implementations & Comparisons

Environment of development:

Colaboratory, or “Colab” for short, is a product from Google Research. Colab allows anybody to write and execute arbitrary python code through the browser, and is especially well suited to machine learning, data analysis and education. Colab allows you to use and share Jupyter notebooks with others without having to download, install, or run anything. Colab also offers access free of charge to computing resources including GPUs. Jupyter is the open source project on which Colab is based.

Contributors: