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an-2-lab

carmechanics-api

dsa-cpp-social-media

evolutionary-algorithm-for-knapsack-and-tsp-problems

This repository contains implementations of genetic algorithms for solving the Knapsack and Traveling Salesman Problems (TSP). The algorithms use adaptive heuristic search strategies, including various selection, crossover, and mutation techniques to optimize solutions. Detailed documentation, pseudocode, and experimental results are included.

geneticalgorithm-knapsackproblem

This repository implements a genetic algorithm to solve the knapsack problem, optimizing item selection for maximum value within capacity constraints. Features include binary string solution representation, fitness function for total value calculation, tournament selection, one-point and uniform crossover, and bit-flipping mutation.

mathgame

onlinelibrary

predicting-house-prices-using-linear-regression

A Python project that uses linear regression to predict house prices based on size, number of bedrooms, and age of the house. Includes data manipulation with pandas, numerical operations with NumPy, and model evaluation using scikit-learn. Outputs predictions to a summary text file.

sales-data-analysis

A Python tool for analyzing sales data from a CSV file. It calculates total units sold, average revenue per unit, and identifies the highest revenue day. Results are outputted to a summary text file. Ideal for learning data manipulation with pandas and numerical operations with NumPy.

socialgraphmanager

A comprehensive C++ project implementing a social network management system using multimaps and nodes to handle events, friendships, messages, and user interactions. It includes various repository and service layers for efficient data handling and processing.

test