acalvino4 / bruteforcelinearregression Goto Github PK

Given experimental data on the bounce height of differently sized bouncy balls, find a line that best fits the size-vs-bounceheight data points.

View project at https://acalvino4.github.io/BruteForceLinearRegression.
Alternatively, enter the .ipynb file's url on juptyer nbviewer.

We will approximate the line of best fit through a brute-force linear regression, simply trying different m & b values in y=mx+b, and recording those that result in the least error.

Note: We recognize that this is a pretty mediocre approach from a data science perspective. The purpose of this project has more to do with running a basic data science work flow, as well as python / jupyter proficiency.

If you wish to run the code yourself:

• import the repo locally
• have anaconda-project installed
• anaconda-project run notebook from local repo directory