Simple Logistic Regression without any ML library

In this project you will discover how to we create simple logistic regression using numpy and matplotlib without any ML library.

Getting Started

Description of the Dataset

We just created simple sample dataset.

What we achieved doing this Project:

In this post, you discovered the gradient descent optimizer and backpropagation.

You learned how you create ML models without any ML library, specifically:

• How to use GradientDescent optimizer.
• How to do BackPropagation.
• How to visualize dataset, and output.

Prerequisites

What things you need to install the software and how to install them

puthon IDE
jupyter notebook

Built With

• python - Programming Language
• numpy - NumPy is the fundamental package for scientific computing
• matplotlib - Matplotlib is a plotting library

Authors

• M.Junaid Fiaz - JD

License

This project is licensed under the APACHE License - see the LICENSE.md file for details