Qais Youssef (qmyhd)

qmyhd

User data from Github https://github.com/qmyhd

Location:United States

Home Page:https://qmyhd.github.io/Qais_Portfolio/

GitHub:@qmyhd

Qais Youssef's repositories

QBOT

QBOT, a conversational AI chatbot. It contains essential code files, instructions, and lore to understand and extend QBOT's functionalities. Specifically, the repository includes: JavaScript files for custom plugins (custom_plugins.js). HTML templates (chat.html). Markdown documents detailing QBOT's lore and specialized features.

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DS5100-Projects

DS 5100 Programming for Data Science | Summer 2024 | Residential

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ds6001databases

Projects from DS6001, showcasing database management, API data extraction, web scraping, and data analysis. Key assignments include SQL-based database normalization, schema design, API integration, web scraping, and data cleaning using Pandas. The work includes MySQL, PostgreSQL, MongoDB, REST APIs, Docker, and Python data pipelines.

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Early-bot-stage-in-OpenCharacters

Simple little web interface for creating characters and chatting with them. It's basically a single HTML file - no server. Share characters using a link (character data is stored within the URL itself). All chat data is stored in your browser using IndexedDB. Currently supports OpenAI APIs and ~any Hugging Face model.

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kNN-k-Means-Clustering

This repository contains applied demonstrations of K-Nearest Neighbors (KNN) and K-Means Clustering, showcasing how these machine learning algorithms are used in classification, regression, and clustering tasks.

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Montecarlo-simulator

Monte Carlo Dice Simulator - Statistical Analysis Tool

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MSDS

Created during orientation

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Probability-Statistics

This repository contains various probability and statistics demonstrations, showcasing key concepts in statistical analysis, probability distributions, and theorems. The projects include simulations, visualizations, and statistical analysis using Python libraries like NumPy, SciPy, Matplotlib, and Seaborn.

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real-world-data-wrangling

This repository contains exploratory data analysis (EDA) and data wrangling projects focused on higher education metrics, including graduation rates, financial aid, and institutional differences. Using Python (Pandas, Seaborn, Matplotlib, and NumPy), these analyses provide insights into factors affecting student success

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sql-python-etl

DS 2002 - SQL-based ETL processes, API integrations, and data engineering workflows. Showcases database extraction, transformation, and loading (ETL) across different data sources, including MySQL, MongoDB, Apache Kafka, and APIs. Includes real-world applications such as stock price retrieval using the Yahoo Finance API....

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DS3001-Programming-Fundamentals

Fundamental programming exercises and projects covering Python essentials, statistical analysis, data visualization, optimization, and ML foundations. Includes implementations using NumPy, Matplotlib, Pandas, and other Python libraries.

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Qais_Portfolio

Portfolio website

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skills-code-with-codespaces

My clone repository

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