Pinned Repositories
Adventure-Works-Analysis
ahmed-ezzat99
Apple-Quality
Bank-Customer-Churn-
Car-Price-Prediction
This project focuses on predicting car prices using the Random Forest algorithm. Leveraging machine learning techniques, particularly Random Forest Regression, we aim to develop a robust model capable of accurately estimating the prices of cars based on various features and attributes.
Customer-Segmentation-for-E-Commerce
Diabetes-Prediction-
This project predicts diabetes likelihood by analyzing health parameters like glucose levels, blood pressure, and BMI from a dataset. Using predictive algorithms, it assesses the probability of diabetes development in individuals.
Northwind-Traders-Analysis
Shopping-Trends-Analysis
Student-Performance-Factors
ahmed-ezzat99's Repositories
ahmed-ezzat99/Student-Performance-Factors
ahmed-ezzat99/Shopping-Trends-Analysis
ahmed-ezzat99/Adventure-Works-Analysis
ahmed-ezzat99/ahmed-ezzat99
ahmed-ezzat99/Apple-Quality
ahmed-ezzat99/Bank-Customer-Churn-
ahmed-ezzat99/Car-Price-Prediction
This project focuses on predicting car prices using the Random Forest algorithm. Leveraging machine learning techniques, particularly Random Forest Regression, we aim to develop a robust model capable of accurately estimating the prices of cars based on various features and attributes.
ahmed-ezzat99/Customer-Segmentation-for-E-Commerce
ahmed-ezzat99/Diabetes-Prediction-
This project predicts diabetes likelihood by analyzing health parameters like glucose levels, blood pressure, and BMI from a dataset. Using predictive algorithms, it assesses the probability of diabetes development in individuals.
ahmed-ezzat99/Northwind-Traders-Analysis
ahmed-ezzat99/Predicting-Hazardous-NEOs
ahmed-ezzat99/Web-Page-Phishing-
This project aims to develop a machine learning model to detect phishing websites, enhancing online security and protecting users from cyber threats. By analyzing various features of web pages, such as URL length, number of dots, and special characters, the model accurately predicts whether a website is phishing or not.