Machine Learning as a Service for HEP
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Updated
May 10, 2022 - Python
Machine Learning as a Service for HEP
Seatbelt detection using YOLOv5 ML model
SugarSense : The Diabetes Prediction Application
A Machine Learning model created using prebuild model. We need to feed the images to the model and it will predict if the same person is there else it will mark as unknown.
Video-based surgical skill assessment using 3D convolutional neural networks
summer-search is a Python package that provides a simple interface for searching the web, extracting relevant content, and generating a summary based on the extracted information
Building a simple, not-so cool ML Model - Polynomial Fitting
A Software for Cabs which comprises most innovative ideas to provide a best-personalized user experience.
In this project I have created an end to end diabetes prediction application using streamlit.
Heart attack risk prediction using machine learning (Random Forest Model)
Developed an ML model for an e-commerce website to recommend products.
Classification and regression models for predicting the level of risk associated with extending credit to a borrower and the basic EPS amount respectively.
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