Python Code for Linear Regression
Budget: $30 – $250 USD
I'm looking for an experienced Python developer who specializes in machine learning and specifically in Linear Regression.
Your task will be to:
- Develop Python code for a specific machine learning problem relating to numerical optimization.
- Implement this code in a way that it can be used for Regression tasks, specifically using the Linear Regression algorithm.
- Enhance the code to include a visualization of the loss function. The code should output the loss with each iteration.
It would be beneficial if applicants have a strong understanding of machine learning, specifically dealing with regression tasks and Linear Regression algorithms. Experience with visualization techniques will also be a great advantage for this project. As the code needs to output iterative loss, previous experience with developing similar functionalities will be highly beneficial.
the code is in this github page: https://github.com/HashimAlSadah/MX-Project/blob/main/PINN/discrete_time_model/Discrete_time_PINN_Diffusion_equation.ipynb(if the page not open I can send to you the code)
the example is burger's equation in the picture with the data in attachment;
add the figure for loss and iteration like (3)
Your task will be to:
- Develop Python code for a specific machine learning problem relating to numerical optimization.
- Implement this code in a way that it can be used for Regression tasks, specifically using the Linear Regression algorithm.
- Enhance the code to include a visualization of the loss function. The code should output the loss with each iteration.
It would be beneficial if applicants have a strong understanding of machine learning, specifically dealing with regression tasks and Linear Regression algorithms. Experience with visualization techniques will also be a great advantage for this project. As the code needs to output iterative loss, previous experience with developing similar functionalities will be highly beneficial.
the code is in this github page: https://github.com/HashimAlSadah/MX-Project/blob/main/PINN/discrete_time_model/Discrete_time_PINN_Diffusion_equation.ipynb(if the page not open I can send to you the code)
the example is burger's equation in the picture with the data in attachment;
add the figure for loss and iteration like (3)