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I will find the mathematical equation behind your experimental data
Physics researcher who finds the equations behind your data
I'm an independent physics researcher and teacher from Pakistan. I build PIR, a classical engine that recovers closed-form equations from noisy data, merged into SRBench, the standard benchmark for sy...
About this Gig
Have measurements but no formula? I find the closed-form equation behind your data a law you can read and check by hand, not a black-box fit.
What you get:
The equation, with fitted constants
Fit quality (R², error) and a plot of data vs. model
A plain-language explanation of what the equation means
Python code so you can reproduce it
Good fit: lab or experiment data, physics and engineering measurements, thesis or MS/PhD datasets, robotics and control data.
Honest by design: not every dataset has a simple law. If yours doesn't, I'll say so and give you the best interpretable model instead never a dressed-up guess.
Background: I build PIR, a classical symbolic regression engine merged into SRBench, the standard benchmark for the field. On a blind 44-problem physics benchmark it recovers 12/44 laws exactly. I also published a case study on a 7-DOF robot arm (Franka Panda).
Please message me before ordering so I can check your data fits.
Domain:
Machine Learning
•
Time Series Analysis
•
Other
Expertise:
Feature learning
•
Predictive analysis
•
Other
Programming language:
Python
•
Colab
Tools:
Jupyter Notebook
•
Excel
•
Colab
Technology:
Python
•
scikit-learn
•
Colab
•
Jupyter Notebook
•
Pandas
•
Excel
FAQ
What if no equation fits my data?
I'll tell you honestly and deliver the best interpretable model I can find, with its limits explained.
What format should my data be in?
CSV or Excel, one column per variable, with units if you know them
Do you use AI or neural networks?
No. The method is classical, and every step can be checked by hand
