algorithms_dynamicprogramming_codechef_competition_submissions

catering_company_management_system

This repository contains the code and resources for a comprehensive Catering Company Management System. This system is designed to enhance and streamline the operations and event management for catering companies. It includes modules for managing human resources, clients, food and equipment inventory, suppliers, and the events themselves.

crowd-transcribe

Crowd transcription server_ivrit_ai

cs_188-introduction-to-artificial-intelligence-final_project

This project predicts soccer player market values using machine learning. Data from Transfermarkt includes performance metrics and market values. A Perceptron algorithm classifies players based on these features. The model, trained with Stochastic Gradient Descent, aims to enhance prediction accuracy and address class imbalances.

datadrivenai-excel-powerbi-orange

demo

🤖 Fork me to try out Dependabot

housing_price_prediction_advanced_regresson_kaggle

This repository contains a comprehensive solution for predicting house prices using advanced regression techniques, dimensionality reduction, and hyperparameter tuning. The dataset used is from the Kaggle House Prices competition. The goal is to predict the final price of each home based on a variety of features.

manage-warehouse-oop-python

the final assignment for data science college, a tkinter gui visual presentation of complete warehouse management given .csv files.

next.py-solution-campusil

my solution for assignment 5.4

python-crypto-benchmark

A basic benchmark of multiple Python crypto libs

shovalbenjer

Open Source Github Profile README

titanic---machine-learning-from-disaster

This project explores machine learning techniques, focusing on data preprocessing, model building, and evaluation. It includes data analysis, visualization, various algorithms, and performance comparison. Key topics: data cleaning, feature engineering, model selection, hyperparameter tuning, and evaluation metrics.