This Jupyter Notebook file performs a machine learning model using linear regression and gradient descent algorithms. The model is trained on a single feature using dummy data.
numpypandasmatplotlib
To run this Jupyter Notebook file, make sure you have the required dependencies installed. Then, open the file in Jupyter Notebook and run each cell in sequence. You can modify the code as needed to experiment with different parameters and see how they affect the model's performance.
Note The dummy data used in this notebook is provided for demonstration purposes only. The model's accuracy may not be representative of its performance on real-world data. For more readable format click here