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brain_tumor_classification_using_cnn_and_fed_model

This repository implements a federated learning approach for brain tumor classification using Convolutional Neural Networks (CNNs) and Factorial Experimental Design (FED) models . It allows training a robust model on distributed and privacy-preserving medical data without directly sharing sensitive patient information.

data-visualization-of-bird-strikes-between-2000-2011

This project analyzes bird strike data on aircraft using R, providing insights through visualizations. It includes bar charts, line charts, histograms, and pie charts to depict trends, costs, impacts, and patterns related to bird strikes. The goal is to help aviation stakeholders understand and mitigate bird strike incidents effectively.

face_detection

This repository houses an efficient and accurate face detection system implemented using cutting-edge computer vision techniques. Our solution leverages state-of-the-art deep learning models to detect faces in images and videos with high precision and speed.

google_stock_price_analysis_and_forecasting

Analyze and forecast Google stock prices using R. Utilizes various techniques including moving average, exponential smoothing, ARIMA, and linear regression. Provides insights into historical trends and future predictions for informed decision-making in financial markets.

movie-recommendation

A movie recommendation system that suggests movies based on user input using cosine similarity and TF-IDF vectorization. It analyzes movie metadata, including genres, keywords, tagline, cast, and director, to provide personalized recommendations.

st_abtest_project