This is a simple linear regression project that examines the relationship between math scores and LSD usage. The goal of this project is to determine if there is a correlation between the amount of LSD used and math scores.
This project is trying to understand the result of the following article:
Previously published plasma concentrations of LSD-25, observed following intravenous iniection of 2 mcg. per kilogram of LSD-25, have been found to be explained by the two-compartment open model. Performance scores on arithmetic tests were shown to be highly linearly correlated with the concentration in the “tissue” (outer) compartment. The estimated volume of the plasma (inner) compartment was 16.3 per cent of body weight, which is approximately the value reported for extracellular water; the estimated volume of the tissue compartment was 11.5 per cent of body weight. The estimated half-life for loss of LSD-25 from the plasma compartment, based on the model, was 103 minutes compared with a half-life of 180 minutes calculated directly from plasma concentrations.
To get started with this project, you will need to clone this repository to your local machine.
Make sure you have the following software installed on your local machine:
- Python 3
- NumPy
- Pandas
- Scikit Learn
You can run the model by running the main.py file. The file reads the data from file, and trains the model.
python main.py
If you would like to contribute to this project, feel free to submit a pull request.
This project is licensed under the MIT license.