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 ...

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

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 ...

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 ...

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

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 ...