MACHINE LEARNING

Breast Cancer Prediction using Machine Learning | Health Related Science Projects

Breast Cancer Classification using CNN Breast Cancer is deadly and the most common type of cancer in the world.  Based on machine learning algorithm such as random forest, XGBoost, logistic regression and K-nearest neighbor, this paper establishes different models to predict and classify breast cancer. Machine Learning has potential to predict breast cancer based on […]

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Breast Cancer Classification using Machine Learning | Machine Learning Projects

Breast Cancer Prediction using Machine Learning Breast cancer is a type of cancer that originates in the breast tissue. It occurs when the cells in the breast grow and divide uncontrollably, forming a tumor. Breast cancer can affect both women and men, although it is much more common in women. There are different types of

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Brain Tumor Detection using Machine Learning Project | Image Processing Projects using Python

Brain Tumor Detection Web App with Neural Networks The Brain Tumor Detection Web App with Neural Networks is a web-based diagnostic tool that assists in the early detection of brain tumors. Utilizing neural networks and medical imaging data, the application analyzes brain scans to identify potential tumor formations. This tool aims to expedite the diagnostic

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Brain Stroke Detection using Deep Learning | Computer Science Projects for Final Year Students

Brain Stroke Prediction using Machine Learning Implementing an AI system for predicting brain strokes in a healthcare setting requires careful planning, data preparation, model development, and validation. Here are the general steps to follow: 1.Define the Objective: Clearly articulate the goals and objectives of the AI system. Decide what specific stroke-related information you want the

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Brain Stroke Detection using Machine Learning | Brain Disease Detection using Deep Learning

Hey there, welcome to our Blog, A brain stroke, also known as a cerebrovascular accident (CVA), is a medical condition that occurs when there is a disruption in the blood supply to the brain. This disruption can be caused by either a blockage (ischemic stroke) or a rupture (hemorrhagic stroke) of blood vessels in the

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Brain Stroke Classification using CNN | Brain Stroke Detection using Deep Learning

Stroke Prediction using Machine Learning The Brain stroke is a cardiovascular disease that occurs when the blood flow becomes abnormal in head region. main cause of this abnormality is disability or death. There are two types of dataset: Stroke and Normal. User have to gave input image and model will predict that person have stroke

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Real-Time Defected Bottle Identification using Image Processing | Machine Learning Projects

Real time Plastic Bottle Detection with Deep Learning Project Description:- In this project user can provide input video and it works on real-time as well, if user gave input then it will identify that bottle is defected or not. it also checks that bottle is available in that image or video. Similar it works for

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Book Recommendation System using Machine Learning | Collaborative Filtering Based Recommender

Book Recommender System using Machine Learning With the Machine Learning Model we develop a Book Recommendation System Project. When someone selling online, then some businesses have their recommendation system model attached with their website. However most of the websites are not integrated with recommender system. Businesses force them to  customers for purchase additional or irrelevant

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Hand Bone Joint Detection using Image Processing | Python Project Fracture Detection

Hand Bone Joint Detection using Image Processing Hand Bone Joint Detection, in this project user have to gave input image then model will detect DIP, PIP, MCP joints. Model will take input of sample x-ray of hand image then after detection it will identify bone and joints and identified it. This project is working on

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Bed Sores Stage Classification using Machine Learning | Image Processing Projects

Skin Disease Detection using Image Processing Bedsores Image Dataset is implemented as input. The dataset is taken from dataset repository. The input dataset is in the format .png, .jpg. we can extract the features from pre-processed image and then we can implement the deep learning algorithm such as Convolutional Neural Network For classify the disease

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