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This program makes predictions for 3 datasets by using an implementation of the K-means algorithm both from scratch and the sci-kit learn library. The K-means algorithm used in this program only works for k 3, 4, and 6 values.

This GitHub repository contains Python implementations of the top machine learning algorithms from scratch using only the Python programming language and the NumPy library. The goal of this repository is to help beginners and aspiring data scientists understand the inner workings of these algorit... Read more

ProQDock is a Protein-Protein docking scoring program that uses high level coordinate driven features compiled and trained by a Support Vector Regression algorithm. The current version has 13 features: both all-atom and interface features. ProQDock should also serve to develop hybrid methods in f... Read more

Welcome to the comprehensive repository of search algorithms - a collection of various search algorithms that are commonly implemented in real-world applications and research across multiple programming languages, including Python, Java, C++, JavaScript, Swift, Rust, and more.

A collection of templates for commonly used Data Structures and Algorithms that can be used during Competitive Programming to solve problems easily and quickly.

Designing an optimized path for multiple robots in a warehouse for picking and delivery operations using A* algorithm (shortest path) and linear programming (task allocation).

This is a program to drive a robot through a maze using Depth First Search as it's path-planning algorithm. The program is interfaced with Micromouse simulator for visualizing the maze and the robot in real-time.The concepts of object-oriented programming, inheritance, and dynamic polymorphism we... Read more

🔐 A program that encrypts/decrypts text using the RSA algorithm along with another one that tries to break it by attempting to compute the correct private key (Different Key Sizes).

This is derivative work from literature review of a paper, intending to serve as main alpha for the research project developed under ETC Investment Group, Academy Division. The underlying logic and technique follows through with the abstract: "This paper presents an integrated approach for portf... Read more

Machine Learning (ML) develops computer programs that automatically improve their performance through experience. This includes learning many types of tasks based on many types of experience, e.g. spotting high-risk medical patients, recognizing speech, classifying text documents, detecting credi... Read more