You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
This project is an AI-powered content generation tool that leverages Hugging Face's models to create customized content based on user queries. The application is built using Streamlit and provides an interactive UI for generating content tailored to different age groups and task types.
This project involves building an Artificial Neural Network (ANN) for predicting customer churn. The dataset used contains various customer attributes, and the ANN is trained to predict whether a customer is likely to leave the bank.
Malicious URL Detection is designed to identify potentially harmful URLs using machine learning techniques. The model leverages various features of URLs to classify them as malicious or benign, providing an essential prediction for cybersecurity.
This repository contains the code implementation for the project "Brain Tumor classification Using MRI Images." The project aims to enhance brain tumor diagnostics through the utilization of Machine Learning (ML) and Computer Vision(CV) techniques, specifically employing a Support Vector Machine (SVM) classifier.
This project focuses on the segmentation of brain tumors in 3D MRI images using Convolutional Neural Network (CNN) models. The research compares the performance of SegNet, V-Net, and U-Net architectures for brain tumor segmentation and evaluates them based on complexity, training time, and segmentation accuracy.
As a DevOps and Machine Learning Enthusiast, dedicated to gaining expertise in cutting-edge technologies that will shape the future of the industry. With a passion for innovation and problem-solving, also committed to continuous learning and professional development I am a motivated and versatile individual, always eager to take on new challenges.