tearitco/linear_regression_using_gd

Linear regression using gradient descent from scratch in C with GNUplot

Linear Regression using Gradient Descent in C

A from scratch implementation of Linear Regression algorithm with 2 fitting parameters. The parameters are optimised using Gradient Descent algorithm. The implementation also utilises GNUplot to plot the data and cost over epochs.

Getting Started

• Clone the repo into your folder

  git clone https://github.com/sanjeev309/linear_regression_using_GD

• Experiment with values of EPOCH, LEARNING_RATE and default theta values in main.cpp

• Execute make command to compile into an executable

  make compile

• Run the executable

  ./linear_reg

• Clean for a rebuild

  make clean

Prerequisites

*nix OS, gcc compiler, basic C programming and curiosity.

Breakout

Authors

• Sanjeev Tripathi - LinkedIn

License

This project is licensed under the MIT License - see the LICENSE file for details

Acknowledgments

• This project dates back to 3+ years when I just began with Andrew Ng's ML course in MATLAB. A lot of gratitude for him and the initiative.