Large-Scale Multi-Class Image-Based Cell Classification with Deep Learning
Health Buddy is a web application that provides essential medical assistance, including predicting brain tumors, detecting retina problems, and finding nearby doctors. With a chatbot feature and AI-powered suggestions, it aims to improve the healthcare experience for users.
Real time Object detection giving all object detected : labels along with all bounding box predictions + Flask live hosted server
set of algorithms performed to carry out the analysis of the "thyroid-disease" database published in the UCI page
A novel feature selection algorithm using ACO-Ant Colony Optimization, to extract feature words from a given web page and then to generate an optimal feature set based on ACO Metaheuristics and normalized weight defined as a learning function of their learned weights, position and frequency of feature in the web page. JAVA based ACO Framework
Report on the performance of different machine learning algorithms in identifying persons of interest in the Enron Fraud Case
This repo includes complete end to end algorithm for dog breed classification mechanism using deep learning.
This project aims to develop a robust classification model using test-takers' demographics and questionnaire responses from the ASD screening dataset to accurately identify individuals with Autistic Spectrum Disorder (ASD) through optimization of performance metrics.
Study of the paper "On the Optimality of the Simple Bayesian Classifier under Zero-One Loss" by Domigos and Michael Pazzani of the University of California published for the "Machine Learning" international forum in 1997.
Hoax Analyner use KNN and Multinomial Naive Bayse
White and Red Wine classification using logistic regression
An ML algorithm to predict an individual's risk of adverse reaction to the COVID vaccine based on their medical profile.
ML Classification Project
Classification & Feature Selection for predicting blood glucose variability in Type 2 Diabetes
Predicting Next Booking Destinations for Airbnb Users. Feel free to access the Streamlit App in the link below.
This is the prediction system where i am using ML and Frontend Languages.
Big Data ML project to predict patient no-shows at clinics by building a Data Science pipeline on Databricks.
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