Vishal lazrus's Projects
Developed ML/DL based a web application for stock price prediction based on real-time data.
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 repo includes ChatGPT prompt curation to use ChatGPT better.
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 building a powerful image classification model to distinguish between cats and dogs using a Convolutional Neural Network (CNN)
Choosing the right estimetor/algorithm for our problem
Computer Vision INT345 handwritten notes and end term Paper and MCQ for practice
The content behind MDN Web Docs
Covid informetion website.
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.
Welcome to the Deep Learning Notes repository! This collection of notes is designed to provide a deep understanding, intuition, and real-world implications of deep learning. Whether you're a beginner or preparing for exams and interviews, these comprehensive and colorful notes will be your go-to readme resource.
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.
dev-ops
DevOps, Docker, Kubernet, ingress, reddit-webapp and aws project
The Suicide-Depression-Predictor is healthcare project that uses ML, React,DevOps to predict the risk of suicide and depression in individuals. It can be used to identify those who are at risk of suicide or depression so that they can receive early intervention and treatment. The Suicide-Depression-Predictor is a valuable tool for mental health.