In this project, PyTorch is used to create and train a ResNet-18 model and apply it to a set of chest X-ray data. [Project done on Coursera Project Network]
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Updated
Jun 19, 2021 - Jupyter Notebook
In this project, PyTorch is used to create and train a ResNet-18 model and apply it to a set of chest X-ray data. [Project done on Coursera Project Network]
Functions for creating or updating correspondence tables between two statistical classifications
Objective of this project is to create an image classification model that can predict Chest X-Ray scans that belong to one of the three classes: Normal, Viral Pneumonia, COVID-19 with a reasonably high accuracy using PyTorch.
A landscape classification algorithm that utilizes pattern recognition techniques in supervised machine learning with a statistical classifier.
• Machine Learning model to predict the best crop to be grown by considering soil and climatic condition.
Este projeto busca desenvolver um aplicativo que usa dados de sensores de pulso (smartwatches) para acompanhar exercícios de treinamento de força.
CNN for identifying COVID-19 from X-Rays scans using Pytorch
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