Machine Learning Concepts And Models using Octave and Jupyter Notebook
-
Updated
Jul 13, 2021 - Jupyter Notebook
Machine Learning Concepts And Models using Octave and Jupyter Notebook
A mini project on Brain Stroke Prediction using Logistic Regression with 89% Accuracy
This project demonstrates the implementation of a DC GAN, a type of generative model that can generate realistic synthetic images. The code is implemented in Python and is available as a Colab notebook.
Add a description, image, and links to the ml-algorithms topic page so that developers can more easily learn about it.
To associate your repository with the ml-algorithms topic, visit your repo's landing page and select "manage topics."