Fuad Hassan's repositories
SOI-Database
CIS 4331 Final project
CIS-3715
This course aims to provide a comprehensive introduction to the practice of data science, equipping students with practical skills essential for real-world applications.
Credit-card-debt-prediction
Credit card debt prediction is important for managing risk, aiding financial planning, retaining customers, complying with regulations, and making informed investment decisions.
Credit-score-classification
Credit scoring is a crucial task in financial institutions to assess the creditworthiness of individuals or businesses. This project focuses on building classification models to predict credit scores based on various features such as income, debt, and credit history.
Global-Insights-Clustering
Global Insights: Country Clustering Analysis Using Unsupervised Machine Learning
Movie-Recommender
This repository hosts a collection of scripts and resources aimed at building a robust recommendation system for movies. Leveraging advanced algorithms and data analysis techniques, this project offers a seamless experience for users to discover movies tailored to their tastes.
CIS-4331
This course will cover the fundamental concepts of database systems, with an emphasis on relational database systems. It will cover both the theory and practice of relational databases, including Codd's original relational model, the relational algebra and calculus, and normalization.
CIS-4526
The goal of the field of machine learning is to build computer systems that learn from experience and are able to adapt to their environments. This introductory machine learning course will present modern machine learning algorithms from supervised and unsupervised learning.
CIS_2107
Computer Systems and Low-Level Programming
CIS_2168
Data Structures
classroom
This is my public facing repo. You can find code, assignments, and in class examples in here. What you will NOT find are my answers or exams.
Coronavirus-Testing-Database
Final exam for 4331
Machine-Learning
This repository contains machine learning algorithms and models implemented in Python for various tasks, providing a comprehensive resource for learning and experimentation in the field of machine learning.