My algorithm is 4.6 times as efficient as the brute-force algorithm. My algorithm outperforms the brute-force 78.6% of the time. See findings.txt for more details. The goal of the game is to make 24 ...

This Python program explores both informed and uninformed search algorithms to solve various classic AI problems, using breadth-first search (BFS), depth-first search (DFS), and an informed search ...

Python can be used with a machine learning algorithm called DBSCAN (Density-Based Spatial Clustering of Applications with Noise) for contact tracing. As this is just a side-project, so we don’t ...

Specialization: Data Science Foundations: Data Structures and Algorithms Instructor: Sriram Sankaranarayanan, Assistant Professor Prior knowledge needed: Mathematical Background: We expect that the ...

Scikits are Python-based scientific toolboxes built around SciPy, the Python library for scientific computing. Scikit-learn is an open source project focused on machine learning: classification ...

Lesson 1: Introduction to Python Basics and Algorithmic Thinking Objectives: Understand basic Python programming concepts: variables, data types, and basic algorithms. Apply algorithmic thinking to ...

Specialization: Data Science Foundations: Data Structures and Algorithms Instructor: Sriram Sankaranarayanan, Assistant Professor Prior knowledge needed: We highly recommended successfully completing ...