I have an unfinished project on calculating the kinetic parameters of the OH-CH3OH gas-phase reaction using linear regression.
In this project, I implemented two methods: one using the sklearn library and another using gradient descent from scratch. Surprisingly, the loss value for the gradient descent method was lower than when using sklearn—something I wasn’t expecting.
This project was inspired by what I learned in the Machine Learning Specialization on Coursera by DeepLearning.AI, combined with my background in chemical engineering. As a beginner in coding and machine learning, I’m still learning the ropes and figuring out the standard practices. Any insights or feedback would be greatly appreciated! If anyone can point out why the results weren’t what I was expecting, I would really appreciate it! 
You can find the project on GitHub: GitHub - mjmortega/OH-methanol_LinearReg