Welcome to the Supervised Machine Learning repository!
In this repository, you will find:
- Projects: Practical applications of supervised learning algorithms.
- Notebooks: Interactive Jupyter notebooks illustrating various concepts.
- Learning Materials: Resources from diverse educational sources.
Below is a list of topics with descriptions and links to the respective project folders.
- Linear Regression from Scratch with Numpy
- Understanding of linear regression
- Cost Function , Gradient Decent
- Building a Linear Model using Numpy
To get started with the materials in this repository, you can clone the repository to your local machine:
git clone https://github.com/MdHassanPappu/supervised-machine-learning.git