Skip to content
#

accuracy-metrics

Here are 88 public repositories matching this topic...

Stock-Predictor-V4

A reinforcement learning model specialized in stock prediction utilizing deep learning techniques, incorporating reward mechanisms, compatible with any machine equipped with Python.

  • Updated May 18, 2024
  • Python

Extremely fast evaluation of the extrinsic clustering measures: various (mean) F1 measures and Omega Index (Fuzzy Adjusted Rand Index) for the multi-resolution clustering with overlaps/covers, standard NMI, clusters labeling

  • Updated Jun 15, 2021
  • C++

End-to-end implementation of Spam Detection in Email using Machine Learning, Python, Flask, Gunicorn, Scikit-Learn, and Logistic Regression on the Heroku cloud application platform.

  • Updated Jan 15, 2023
  • HTML

The project is an integral cog in Computer Vision and Artificial Intelligence and Machine learning. It aims to determine the activity of a human from a video provided to the machine. It is a step forward in solving various problems like surveillance, fall detection for elderly or sick people, robotics and computer interaction, security among man…

  • Updated Feb 16, 2021
  • Jupyter Notebook
Radiography-Based-Diagnosis-Of-COVID-19-Using-Deep-Learning

Developed a Convolutional Neural Network based on VGG16 architecture to diagnose COVID-19 and classify chest X-rays of patients suffering from COVID-19, Ground Glass Opacity and Viral Pneumonia. This repository contains the link to the dataset, python code for visualizing the obtained data and developing the model using Keras API.

  • Updated Apr 15, 2021
  • Jupyter Notebook

Improve this page

Add a description, image, and links to the accuracy-metrics topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the accuracy-metrics topic, visit your repo's landing page and select "manage topics."

Learn more