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codealpha_onlinebankingsystem

🏦 Java Online Banking System Simulate an online banking system in Java. Accounts, transactions, and balances managed with a basic in-memory database. Features include deposits, withdrawals, transfers, and transaction history. Extendable for more advanced functionalities. #Java #BankingSystem #Programming 🖥️💳

codealpha_onlinequiz

🚀 Java Quiz Game Test your Java knowledge with this console-based quiz game! Answer three questions on Java programming and general knowledge. User-friendly input and immediate feedback. Clone, run QuizGame.java, and challenge yourself! #Java #QuizGame #ProgrammingChallenge 🖥️🤔

codealpha_student_tracker

Student Grade Tracker Java program for teachers to input and analyze student grades. Calculates average, highest, and lowest scores. User-friendly and versatile.

codeway-movie-genre-classification

"Movie Genre Classification" automates film categorization using algorithms like natural language processing & image recognition. It assigns genres like action, comedy, drama, horror, etc., enhancing recommendation systems & user experience in streaming platforms 🎬🤖🔍📽️.

codeway_bank-customer-churn-prediction

Bank Customer Churn Prediction aims to forecast whether customers will leave a bank. Leveraging machine learning, it analyzes customer data to identify patterns indicative of churn, empowering banks to proactively address customer needs. 🏦📉🔄💼🔮

codeway_credit-card-fraud-detection

Credit card fraud detection 🛡️ is vital for financial security. Using algorithms 🤖, real-time monitoring, and data analytics 📊, it detects suspicious transactions and protects cardholders 💳. Collaboration among institutions enhances detection capabilities.

diabetes-using-random-forest

This project aims to develop a machine learning model for predicting diabetes using the Random Forest classification algorithm. The model will be trained on a dataset

next-netlify-starter

product_recommendation_syste-

In the dynamic landscape of online shopping, a well-designed product recommendation system can significantly influence user satisfaction and increase sales. This project aims to implement a personalized recommendation engine that analyzes user behavior and preferences to suggest relevant products, ultimately driving customer engagement and revenue.

supervised_learning_ml_percentage_student

GitHub Project Description: 📊 Supervised Learning for Student Percentage Prediction This project utilizes logistic regression in a supervised learning setting to predict students' percentages based on relevant features. By employing machine learning techniques, we aim to provide a robust and accurate model for educational

twsip_landingpage_1

i have created a basic landing page

twsip_portfolio_2