🍏 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 🎁

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.

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

Machine Learning dashboard that predicts student performance using Linear Regression (implemented from scratch) with Streamlit visualization.

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.

End-to-end ML web app predicting heart disease risk using Random Forest | Flask | 85%+ Accuracy | AUC: 0.8674

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.

🚀 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! 📊🤖

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.

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

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.