In this project you will discover how to we create simple logistic regression using numpy and matplotlib without any ML library.
We just created simple sample dataset.
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.
What things you need to install the software and how to install them
puthon IDE
jupyter notebook
- python - Programming Language
- numpy - NumPy is the fundamental package for scientific computing
- matplotlib - Matplotlib is a plotting library
- M.Junaid Fiaz - JD
This project is licensed under the APACHE License - see the LICENSE.md file for details