Building an AWS Solution Architect Agent with Generative AI

Docker environment that spins up MongoDB replica set, Spark, and Jupyter Lab. Example code uses PySpark and the MongoDB Spark Connector.

🍏 Image 🍎Processing 🫑 Data 🍋 Science is 🍊 a hands on 🍿that 🏦 applies 🎂 techniques ✈ to tasks 🚁 such as 🚟 feature 🛫 extraction 🚀filtering ⛴ classification 🚒 segmentation 🕌 visualization 🎳 It demonstrates ⚽ raw pixels ⚾ can be 🥎 transformed 🏀 into 🏐meaningful 🏈 insights 🥌 using 🏆 computer 🥋 vision 🧶 and 🎽 machine 🪆learning 🎁

Algorithms for similar image search/reverse image search

This playground is a collection of notebooks that demonstrate how to use Elasticsearch.NET and NEST clients.

🌊 Robust workflows for gathering data about your local ocean.

AI-FitnessTrainer using YOLOv8-pose

Demo

This project employs YOLOv2/YOLOv3, TensorFlow and DarkFlow for crowd people counting from images, videos, or live streams, with applications in disaster recovery planning and crowd management, providing real-time count estimates.

ATP Tennis Match Prediction using Machine Learning - 2015-2025

Explore predictive modeling with this repository, featuring regression-based models applied to a comprehensive dataset on flight delays and cancellations. Gain insights into factors influencing air travel disruptions and leverage regression techniques to enhance predictions.

🚀 Integration of Odoo, Power BI, and LLM for enterprise data management. Visualize Odoo data in Power BI, query it intuitively via LLM, and analyze it with Machine Learning in Python. Enhancing decision-making and predictive analytics! 📊🤖

This project is an Ecommerce Chatbot developed to enhance customer interaction and assist with product recommendations, order queries, and FAQs. The chatbot is built using Python and Flask, integrated with LangChain for natural language processing (NLP), and Astra DB as a vector store for storing and retrieving product-related data.

My personal ML corner filled with practice notebooks, clean visuals, and notes I wrote to make the whole ML journey make sense.

Explore ML mini-projects with Jupyter notebooks. Discover predictive analysis for commercial sales, leveraging regression models such as linear regression, decision trees, random forests, lasso, ridge, and extra-trees regressor.

In this repository, immerse yourself in a rich collection of diverse analytical projects that span a spectrum of data-driven investigations. From exploratory data analysis to predictive modeling, each project within offers unique insights and methodologies.

Ai Trading Bot for prediction of the EUR/USD pair changes in the FOREX market.

Information Used To Predict Salaries Years Experience

A complete beginner Python curriculum — lab code, assignments, quizzes, Jupyter notebooks, and recorded lectures, all in one place. Prepared by Aya Nabil Alharazin — Teaching Assistant, Faculty of Information Technology, Islamic University of Gaza

It's a Python based Movie Recommendation System, which recommends movies to the users based on the similarity to previously watched movies.

Repository represents python usability of measuring and managing risks (practice tasks and real cases)

This application simulates and visualizes the SIR model for infectious disease spread.

End-to-end Orders data analysis project using Python and SQL to extract, clean, and analyze order data from Kaggle (dataset).

real time face mask detector using OpenCV, Tensorflow & ..

✨ Solution of image processing course labs. They handle many related topics to image processing like smoothing , classification ...etc

A project that utilizes machine learning in Python to detect phishing websites, addressing a key issue in cybersecurity.

This is a template repository for AI/ML model module.

This repo contains my notes, practice code, and mini projects from a Python course. It mainly focuses on learning Pandas and NumPy for data analysis. Covers data filtering, reshaping, visualization, and cleaning with real examples.

Using machine learning to solve the ultimate college classification problem. A fun project applying Python and Logistic Regression to predict relationship outcomes based on a (hilariously) synthetic dataset. 📊❤️

End-to-end Exploratory Data Analysis of the Kaggle Titanic dataset to extract meaningful insights using data preprocessing, statistical exploration, and data visualization techniques in Python.