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🐳 EuroSAT🐊 Satellite 🐲 Image 🪲 Land 🎳 Use 🌳 Classification 🐸 is a 🪆 computer 🐧vision 🦫 that 🦧 leverages 🦊 Deep 🐯 Learning 🍊and CNN 🥯 architectures 🍏 to classify 🥭 satellite 🍔 images 🧅into ✈ different 🚞 land use 🚒 land cover 🕌 categories 🚁 Built 🎮 on the 🛼 EuroSAT 🛬 dataset ⚾ this 🛸showcases ⚽ environmental 🏀monitoring 🏈
Summer training programs are specialized educational or professional development courses conducted during the summer break. They are designed to provide participants, typically students or early-career professionals, with practical experience and skills in specific fields. 😎🥰🚅🚄
A Custom CNN model aims to assist in the automated analysis of histopathological images, potentially aiding in early cancer diagnosis and medical research.
Just WPOS - Sistema de Punto de Venta Multiplataforma - Flutter App 🚀 Just WPOS es una aplicación simple pero efectiva de Punto de Venta (POS) diseñada para ser utilizada por pequeños y medianos negocios. Con una interfaz intuitiva y funcionalidades clave
🚀 Machine Learning Internship at Codveda Technology. Contains implementations of various ML tasks including data preprocessing, regression, classification, clustering, and neural networks. Progressively building skills from basic to advanced.
Business Analytics Hackathon project implementing an end-to-end machine learning pipeline in R for employee job-change prediction, including preprocessing, feature engineering, model comparison, and evaluation.
Machine Learning-based Fruit Freshness Detection using handcrafted image features with Random Forest, Decision Tree, and Logistic Regression. Includes model comparison, confusion matrices, best model selection, and Streamlit deployment.
🏦🤖FinChurn is an advanced Financial Machine Learning system designed to predict customer churn and detect fraudulent activities with high accuracy. It includes a complete end-to-end ML workflow covering data preprocessing, exploratory analysis, class imbalance handling (SMOTE)
The Smart Loan Recovery System is an all-in-one solution created to make the loan recovery process easier and more efficient. It uses data analysis, predictive tools, dashboards, and database management to help financial institutions keep track of loans, forecast repayment issues, and recover funds more effectively.