Iris Linear Regression with Gradient Descent (C++ and Python)

This project implements a simple linear regression model using gradient descent from scratch using C++, applied to the Iris dataset across all 3 plant species. The regression line is visualised in Python using matplotlib.

What I did

• C++ implementation of gradient descent.
• Use 1 feature (sepal length) to predict another (petal length).
• Visualise predictions.

What I learned

• C++ CSV file handling.
• Overloading C++ operators (e.g., >>).
• Mathematics behind gradient descent.

What I'd do next

• Support more features (multiple linear regression).
• Test the gradient descent function on other datasets.

Dataset

• Iris Dataset: A dataset containing the sepal/petal length & width for 3 plant species.
• I used on 2 numerical columns in the project, the sepal length and the petal length.
• Source: https://archive.ics.uci.edu/
  

The dataset is included in /data/iris.csv for convenience.